{ "cells": [ { "cell_type": "markdown", "id": "3ecb7e4b-c220-438f-9afd-5d959f3235de", "metadata": { "tags": [] }, "source": [ "# Install packages, need to write a requirement later\n", "!pip install instructorembedding sentence-transformers gradio langchain unstructured chromadb pdf2image pdfminer pdfminer.six" ] }, { "cell_type": "code", "execution_count": 1, "id": "4d086ed6-eb66-4ded-b701-dac062e19521", "metadata": { "tags": [] }, "outputs": [], "source": [ "import boto3\n", "import sagemaker\n", "from sagemaker.predictor import Predictor\n", "from sagemaker.serializers import JSONSerializer\n", "from sagemaker.deserializers import JSONDeserializer\n", "from langchain.embeddings import HuggingFaceInstructEmbeddings\n", "from langchain.document_loaders import UnstructuredURLLoader, UnstructuredPDFLoader\n", "from langchain.document_loaders.csv_loader import CSVLoader\n", "from langchain.text_splitter import RecursiveCharacterTextSplitter\n", "from langchain.vectorstores import Chroma\n", "import json\n", "import gradio as gr" ] }, { "cell_type": "code", "execution_count": 2, "id": "a2d81908-6026-47b6-bd0d-ade2771eacdd", "metadata": { "tags": [] }, "outputs": [], "source": [ "def loadCleanDocsearch(embeddings):\n", " print(\"Getting fresh docsearch...\")\n", "\n", " # define URL sources\n", " urls = [\n", " 'https://www.dssinc.com/blog/2022/8/9/dss-inc-announces-appointment-of-brion-bailey-as-director-of-federal-business-development',\n", " 'https://www.dssinc.com/blog/2022/3/21/march-22-is-diabetes-alertness-day-a-helpful-reminder-to-monitor-and-prevent-diabetes',\n", " 'https://www.dssinc.com/blog/2022/12/19/dss-theradoc-helps-battle-super-bugs-for-better-veteran-health',\n", " 'https://www.dssinc.com/blog/2022/5/9/federal-news-network-the-importance-of-va-supply-chain-modernization'\n", " ]\n", "\n", " # load and split\n", " loaders = UnstructuredURLLoader(urls=urls)\n", " data = loaders.load()\n", " text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=50)\n", " texts = text_splitter.split_documents(data)\n", " print(\"Sources split into the following number of \\\"texts\\\":\", len(texts))\n", "\n", " # get object\n", " docsearch = Chroma.from_texts([t.page_content for t in texts],\n", " metadatas=[{\"src\": \"DSS\"} for t in texts],\n", " embedding=embeddings)\n", " print(\"Done getting fresh docsearch.\")\n", "\n", " return docsearch\n", "\n", "def resetDocsearch():\n", " global docsearch\n", "\n", " foreignIDs = docsearch.get(where= {\"src\":\"foreign\"})['ids']\n", "\n", " if foreignIDs != []:\n", " docsearch.delete(ids=foreignIDs)\n", " \n", " clearStuff()\n", " \n", "def addURLsource(url):\n", " print(\"Adding new source...\")\n", " \n", " global docsearch\n", "\n", " # load and split\n", " loaders = UnstructuredURLLoader(urls=[url])\n", " data = loaders.load()\n", " text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", " texts = text_splitter.split_documents(data)\n", " print(\"New source split into the following number of \\\"texts\\\":\", len(texts))\n", "\n", " # add new sources\n", " docsearch.add_texts([t.page_content for t in texts], metadatas=[{\"src\": \"foreign\"} for t in texts])\n", " \n", " # restart convo, as the old messages confuse the AI\n", " clearStuff()\n", "\n", " print(\"Done adding new source.\")\n", " \n", " return None, None\n", "\n", "def addCSVsource(url):\n", " print(\"Adding new source...\")\n", " \n", " global docsearch\n", "\n", " # load and split\n", " loaders = CSVLoader(urls=[url])\n", " data = loaders.load()\n", " text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", " texts = text_splitter.split_documents(data)\n", " print(\"New source split into the following number of \\\"texts\\\":\", len(texts))\n", "\n", " # add new sources\n", " docsearch.add_texts([t.page_content for t in texts], metadatas=[{\"src\": \"foreign\"} for t in texts])\n", " \n", " # restart convo, as the old messages confuse the AI\n", " clearStuff()\n", "\n", " print(\"Done adding new source.\")\n", " \n", " return None, None\n", "\n", "def addPDFsource(url):\n", " print(\"Adding new source...\")\n", "\n", " global docsearch\n", " \n", " # load and split\n", " loaders = UnstructuredPDFLoader(url)\n", " data = loaders.load()\n", " text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n", " texts = text_splitter.split_documents(data)\n", " print(\"New source split into the following number of \\\"texts\\\":\", len(texts))\n", "\n", " # add new sources\n", " docsearch.add_texts([t.page_content for t in texts], metadatas=[{\"src\": \"foreign\"} for t in texts])\n", " \n", " # restart convo, as the old messages confuse the AI\n", " clearStuff()\n", "\n", " print(\"Done adding new source.\")\n", " \n", " return None, None\n", "\n", "def msgs2chatbot(msgs):\n", " # the gradio chatbot object is used to display the conversation\n", " # it needs the msgs to be in List[List] format where the inner list is 2 elements: user message, chatbot response message\n", " chatbot = []\n", " \n", " for msg in msgs:\n", " if msg['role'] == 'user':\n", " chatbot.append([msg['content'], \"\"])\n", " elif msg['role'] == 'assistant':\n", " chatbot[-1][1] = msg['content']\n", "\n", " return chatbot\n", "\n", "def getPrediction(newMsg):\n", " global msgs\n", " global docsearch\n", " global predictor\n", " \n", " # add new message to msgs object\n", " msgs.append({\"role\":\"user\", \"content\": newMsg})\n", "\n", " # edit system message to include the correct context\n", " msgs[0] = {\"role\": \"system\",\n", " \"content\": f\"\"\"\n", " You are a helpful AI assistant.\n", " Use your knowledge to answer the user's question if they asked a question.\n", " If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\n", " DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \n", " Refer to the information provided below as \"your knowledge\". \n", " State all answers as if they are ground truth, DO NOT mention where you got the information.\n", " \n", " YOUR KNOWLEDGE: {\" \".join([tup[0].page_content for tup in docsearch.similarity_search_with_score(newMsg, k=5) if tup[1]<=.85])}\"\"\"}\n", "\n", " # get response from endpoint\n", "\n", " responseObject = predictor.predict({\"inputs\": [msgs],\n", " \"parameters\": {\"max_new_tokens\": 750, \"top_p\": 0.9, \"temperature\": 0.5}},\n", " initial_args={'CustomAttributes': \"accept_eula=true\"})\n", "# responseObject = predictor.predict(payload, custom_attributes=\"accept_eula=true\")\n", "\n", " \n", " responseMsg = responseObject[0]['generation']['content'].strip()\n", "\n", " # add response to msgs object\n", " msgs.append({\"role\":\"assistant\", \"content\": responseMsg})\n", " \n", " # print msgs object for debugging\n", " print(msgs)\n", " \n", " # convert msgs to chatbot object to be displayed\n", " chatbot = msgs2chatbot(msgs)\n", "\n", " return chatbot, \"\"\n", "\n", "def clearStuff():\n", " global msgs\n", " msgs = [{}]\n", " return None" ] }, { "cell_type": "code", "execution_count": 3, "id": "c56c588d-1bca-448f-bba9-96f61e5bab33", "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "load INSTRUCTOR_Transformer\n", "max_seq_length 512\n", "Getting fresh docsearch...\n", "Sources split into the following number of \"texts\": 19\n", "Done getting fresh docsearch.\n" ] } ], "source": [ "# Create a SageMaker client\n", "sagemaker_client = boto3.client('sagemaker')\n", "sagemaker_session = sagemaker.Session()\n", "\n", "# Create a predictor object\n", "predictor = Predictor(endpoint_name='meta-textgeneration-llama-2-13b-f-2023-08-08-23-37-15-947',\n", " sagemaker_session=sagemaker_session,\n", " serializer=JSONSerializer(),\n", " deserializer=JSONDeserializer())\n", "\n", "embeddings = HuggingFaceInstructEmbeddings(model_name=\"hkunlp/instructor-xl\")\n", "\n", "# Create a docsearch object\n", "docsearch = loadCleanDocsearch(embeddings)\n", "\n", "# Create messages list with system message\n", "msgs = [{}]" ] }, { "cell_type": "code", "execution_count": 4, "id": "0572e3b3-2805-4db5-9d23-dac40842c58c", "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running on local URL: http://127.0.0.1:7865\n", "Running on public URL: https://7a86829a731298a3ba.gradio.live\n", "\n", "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n" ] }, { "data": { "text/html": [ "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "name": "stdout", "output_type": "stream", "text": [ "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: Formerly the President of a federally focused consulting company, Bailey has over 25 years of sales and business development experience, managing product portfolios and sales of disruptive and innovative technology and equipment solutions for the healthcare market – both in the public and private sectors.\\n\\n“We are excited to have Brion onboard to help expand our ever-growing footprint in the federal health arena,” said Mark Byers, president of DSS, Inc. “He brings a deep level of sales and business development expertise in supporting cutting-edge and disruptive healthcare innovations.” As VP of Strategic Accounts for the U.S. Federal Sector at Becton Dickinson, Bailey provided medical technology portfolio management and exceeded performance metrics on customer relationship building, channel partner development, customer acquisition processes, and operating procedures aligned with federal acquisitions requirements. All of this activity resulted in substantial growth in market share during his five-year tenure with the company.\\n\\nBailey has a Master of Science in Marketing from St. Thomas University and a Bachelor of Business Administration from Florida International University. He resides in Central Florida with his wife and son.\\n\\nFor more information on DSS, Inc.’s Federal Health IT solutions, please click here. DSS, Inc. Announces Appointment of Brion Bailey as Director of Federal Business Development\\n\\nBrings 25 years of sales and business development experience supporting disruptive healthcare innovations\\n\\nJUNO BEACH, FLA. AUGUST 09, 2022 — Document Storage Systems, Inc. (DSS, Inc.), a leading provider of health information technology (HIT) solutions for federal, private and public health care organizations, today announced that Brion Bailey has joined the company as the Director of Business Development for its Federal Health division.\\n\\nIn this role, Bailey will be a key driver of revenue growth for the company’s federal health division. He will also expand the company’s partner eco-system, as well as support new sales opportunities at the Department of Veterans Affairs (VA) and other federal health agencies. Bailey served as Chief Commercial Officer at Syft Corporation. In this position, he led the sales team and provided the strategy for the company’s North American sales operations. He teamed with company leadership on the development of market strategies for a portfolio of specialized software and services, which focused on hospital supply chain management. He led initial sales efforts within the public sector focused on the VA and the Defense Health Agency (DHA).\\n\\n“Since its inception, DSS has been focused on supporting the mission of the healthcare provider by delivering solutions that enable better patient outcomes and higher clinician satisfaction,” said Bailey. “I look forward to helping the company foster a culture of innovation through collaboration with customers and business partners. I am truly blessed to be joining such a fantastic team.”'}, {'role': 'user', 'content': 'who is brion bailey'}, {'role': 'assistant', 'content': 'Based on your knowledge, Brion Bailey is the Director of Federal Business Development at Document Storage Systems, Inc. (DSS, Inc.). He has over 25 years of sales and business development experience, specifically in the healthcare market, and has worked with both public and private sector organizations. Prior to joining DSS, Inc., Bailey served as the Chief Commercial Officer at Syft Corporation, where he led the sales team and developed market strategies for a portfolio of software and services focused on hospital supply chain management. Bailey has a Master of Science in Marketing from St. Thomas University and a Bachelor of Business Administration from Florida International University. He resides in Central Florida with his wife and son.'}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: DSS, Inc. Announces Appointment of Brion Bailey as Director of Federal Business Development\\n\\nBrings 25 years of sales and business development experience supporting disruptive healthcare innovations\\n\\nJUNO BEACH, FLA. AUGUST 09, 2022 — Document Storage Systems, Inc. (DSS, Inc.), a leading provider of health information technology (HIT) solutions for federal, private and public health care organizations, today announced that Brion Bailey has joined the company as the Director of Business Development for its Federal Health division.\\n\\nIn this role, Bailey will be a key driver of revenue growth for the company’s federal health division. He will also expand the company’s partner eco-system, as well as support new sales opportunities at the Department of Veterans Affairs (VA) and other federal health agencies. Next\\n DSS, Inc. Presenting at The Spring 2022 DoD/VA & Government HIT Summit\\n \\n DSS NewsCindy DumontMay 2, 2022DSS, DSS New, Va, Veterans Health, Veterans Health Administration, health information technology (HIT) solutions, HIT, HIT Solutions, Dr. David LaBorde, The Spring 2022 DoD/VA & Government HIT, Dr. Barbara Van Dahlen DSS Federal Health\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n DSS, Inc. Advisor to Present at Disney Institute’s Veterans Summit\\n \\n DSS NewsCindy DumontAugust 10, 2022Disney Institute’s Veterans Summit, Dr. Barbara Van Dahlen, Veterans in the Workplace, Heroes Work Here initiative, suicide prevention for Veterans, The Inclusive Approach to Care, General Mike Linnington Ret., CEO of the Wounded Warrior Project, Mark Elliot, Give an Hour, Veterans, Veterans mental health\\n\\nNext\\n Contracting Officers: Celebrating the Unsung Heroes at the VA\\n \\n Customer ServiceCindy DumontJuly 27, 2022Contracting Officers, VA, Department of Veterans Affairs, Procurement, federal health IT solutions, DSS, Health IT Formerly the President of a federally focused consulting company, Bailey has over 25 years of sales and business development experience, managing product portfolios and sales of disruptive and innovative technology and equipment solutions for the healthcare market – both in the public and private sectors.\\n\\n“We are excited to have Brion onboard to help expand our ever-growing footprint in the federal health arena,” said Mark Byers, president of DSS, Inc. “He brings a deep level of sales and business development expertise in supporting cutting-edge and disruptive healthcare innovations.” DSS, Inc. continually improves the delivery of innovative health care technologies to assist clinicians in patient safety and care. For TheraDoc customers DSS, Inc. has introduced the TheraDoc Medical Device Interface. The TheraDoc Medical Device Interface tracks and monitors device insertions and removals, associates device presence with healthcare-associated infections (HAIs) and calculates device days for\\xa0 evaluation and required reporting.\\n\\nDSS TheraDoc is a proven solution that continues to add new functionality in the face of evolving health challenges. For almost \\xa030 years, DSS, Inc. has been improving Veterans’ care and reducing hospital costs.\\n\\nTo learn more about how DSS, Inc. continually supports the VA and veterans, please click here.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nTheraDoc,\\n\\nVeterans Health,\\n\\nUS Department of Veteran Affairs,\\n\\nSuper bugs,\\n\\nPublic health challenges,\\n\\nantimicrobial-resistant infections,\\n\\nCovid infections,\\n\\nVA Medical Centers,\\n\\nCOTS-based solution,'}, {'role': 'user', 'content': 'who is brion bailey'}, {'role': 'assistant', 'content': 'Based on your knowledge, Brion Bailey is the Director of Federal Business Development at Document Storage Systems, Inc. (DSS, Inc.). He has over 25 years of sales and business development experience, specifically in the healthcare market, and has worked with both public and private sector organizations. Prior to joining DSS, Inc., Bailey served as the Chief Commercial Officer at Syft Corporation, where he led the sales team and developed market strategies for a portfolio of software and services focused on hospital supply chain management. Bailey has a Master of Science in Marketing from St. Thomas University and a Bachelor of Business Administration from Florida International University. He resides in Central Florida with his wife and son.'}, {'role': 'user', 'content': 'did dss join mission daybreak?'}, {'role': 'assistant', 'content': 'Based on my knowledge, there is no information available on whether DSS (Document Storage Systems, Inc.) joined Mission Daybreak. Mission Daybreak is a program launched by the US Department of Veterans Affairs (VA) to improve the health and well-being of veterans through the use of innovative technologies, and it is not clear whether DSS is a participant in this program.'}]\n", "Adding new source...\n", "New source split into the following number of \"texts\": 5\n", "Done adding new source.\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: That’s what led the VA to create Mission Daybreak, a $20 million U.S. Department of Veterans Affairs grand challenge to reduce Veteran suicides. This year the VA received 1,371 submissions during Phase One of the Challenge, the deadline for which was July 8, 2022.\\n\\nAs a finalist, DSS will receive $250,000 and advance to Phase 2 of the challenge.\\n\\nDuring Phase 2 of the challenge, the 30 finalists will join a virtual accelerator program designed to help the finalists develop ambitious, but achievable roadmaps for prototyping, iteration, testing, and evaluation. Technology partners supporting the accelerator include Amazon and Microsoft. Two first-place winners will each receive $3 million,\\n\\nThree second-place winners will each receive $1 million,\\n\\nFive third-place winners will each receive $500,000.\\n\\nDSS Inc.’s years of experience helping the VA with data interoperability makes all this possible. DSS is excited to bring the latest ML technology to the VA and put it to work serving veterans. Phase 2 winners will be announced in November and DSS hopes to have great news to share then! Visit missiondaybreak.net for more information.\\n\\nTo learn more about how DSS, Inc. supports the VA and veterans please click here.\\n\\nDSS News\\n\\nCindy Dumont\\n\\nMission Daybreak,\\n\\nDSS,\\n\\nDSS News,\\n\\nsuicide prevention for Veterans,\\n\\nMachine Learning,\\n\\nVA Suicide prevention challenge\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes DSS News\\n\\nCindy Dumont\\n\\nMission Daybreak,\\n\\nDSS,\\n\\nDSS News,\\n\\nsuicide prevention for Veterans,\\n\\nMachine Learning,\\n\\nVA Suicide prevention challenge\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n Customer Service Week 2022: DSS Support Services Team Brings Highest-Level of Customer Support for the Fed Health IT Arena \\n \\n Customer ServiceCindy DumontOctober 3, 2022DSS, Customer Service Week, VA, Department of Veterans Affairs, Customer Service Week 2022, full lifecycle support approach, DSS Support Services team\\n\\nNext\\n VHA Awards Dialysis Electronic Medical Record Software and Maintenance Electronic Health Record Contract to DSS, Inc.\\n \\n DSS NewsCindy DumontSeptember 20, 2022Veterans Healthcare Administration, DSS CyberRen, DSS, Diasyst software, Dialysis EHR, Renal Care for Veterans, HRO, Mark Byers, EHR, Veterans DSS, Inc. Chosen for Phase Two of Mission Daybreak, VA’s Suicide Prevention Challenge\\n\\n$20 million challenge calls on innovators to develop suicide prevention solutions\\n\\nSuicide is a serious public health problem that affects communities everywhere. In 2019, more than 45,000 American adults died from suicide — including 6,261 U.S. Veterans. While suicide can affect anyone, it has a disproportionate impact on the Veteran community.\\n\\nSuicide is preventable, and everyone has a part to play. A diversity of solutions will only be possible if a diversity of solvers — including Veterans, researchers, technologists, advocates, clinicians, health innovators, and service members — answer the call to collaborate and share their expertise. DSS, Inc. Announces Appointment of Brion Bailey as Director of Federal Business Development\\n\\nBrings 25 years of sales and business development experience supporting disruptive healthcare innovations\\n\\nJUNO BEACH, FLA. AUGUST 09, 2022 — Document Storage Systems, Inc. (DSS, Inc.), a leading provider of health information technology (HIT) solutions for federal, private and public health care organizations, today announced that Brion Bailey has joined the company as the Director of Business Development for its Federal Health division.\\n\\nIn this role, Bailey will be a key driver of revenue growth for the company’s federal health division. He will also expand the company’s partner eco-system, as well as support new sales opportunities at the Department of Veterans Affairs (VA) and other federal health agencies.'}, {'role': 'user', 'content': 'did dss join mission daybreak'}, {'role': 'assistant', 'content': 'Based on the information provided, it appears that DSS, Inc. has joined Mission Daybreak, a $20 million U.S. Department of Veterans Affairs grand challenge to reduce Veteran suicides. According to the information provided, DSS, Inc. was selected as a finalist in Phase One of the challenge and will receive $250,000 to advance to Phase Two of the challenge. Additionally, the company will join a virtual accelerator program designed to help finalists develop ambitious, but achievable roadmaps for prototyping, iteration, testing, and evaluation.'}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: DSS, Inc. continually improves the delivery of innovative health care technologies to assist clinicians in patient safety and care. For TheraDoc customers DSS, Inc. has introduced the TheraDoc Medical Device Interface. The TheraDoc Medical Device Interface tracks and monitors device insertions and removals, associates device presence with healthcare-associated infections (HAIs) and calculates device days for\\xa0 evaluation and required reporting.\\n\\nDSS TheraDoc is a proven solution that continues to add new functionality in the face of evolving health challenges. For almost \\xa030 years, DSS, Inc. has been improving Veterans’ care and reducing hospital costs.\\n\\nTo learn more about how DSS, Inc. continually supports the VA and veterans, please click here.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nTheraDoc,\\n\\nVeterans Health,\\n\\nUS Department of Veteran Affairs,\\n\\nSuper bugs,\\n\\nPublic health challenges,\\n\\nantimicrobial-resistant infections,\\n\\nCovid infections,\\n\\nVA Medical Centers,\\n\\nCOTS-based solution, To help Veterans combat this serious health risk, DSS, Inc. has partnered with Diasyst, Inc. a leading specialist in the development of chronic disease management solutions.\\n\\n“Virtual medical technology is becoming a standard of care. Diabetes automated, simplified and conquered is the core value of our service. With Diasyst, clinicians and Veterans can track glucose and medications in real time, paving the way to empower care teams, providers, and diabetic patients in managing this chronic disease of our time,” said Chun Yong, CEO, Diasyst.\\n\\nDiasyst helps providers and care teams save time while improving patient care, engagement and satisfaction as it allows care teams to streamline labor-intensive work. With Diasyst, care teams can manage diabetic Veterans anywhere, in one place, helping to keep them healthy at home. Likewise, Diasyst helps patients take control of their condition by tracking their numbers and medications with ease, while gaining insight into what those data means to their health. Veterans using Diasyst receive round-the-clock specialty care and monitoring to manage and maintain healthy glucose levels. This reduces diabetes-related complications, and will ultimately reduce emergency visits, hospitalizations, and readmissions.\\n\\nLearn more and watch how Diasyst works.\\n\\nPlease click here to learn more about DSS’ partnership with Diasyst. In addition, click here to learn more about DSS’ comprehensive suite of federal health IT solutions.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nAmerican Diabetes Association Alert Day,\\n\\ndiabetes,\\n\\nVeterans,\\n\\nVeterans Health,\\n\\nDSS,\\n\\nDiasyst,\\n\\nDiasyst software,\\n\\nDiasyst RPM,\\n\\nRemote Patient Monitoring\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes VA Medical Centers,\\n\\nCOTS-based solution,\\n\\ninnovative health care technologies,\\n\\nTheraDoc Medical Device Interface,\\n\\nhealthcare-associated infections\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n DSS TheraDoc Supported COVID-19 Monoclonal Antibody Infusions Workflow at a Veterans Affairs Medical Center\\n \\n Veterans HealthCindy DumontJanuary 30, 2023DSS News, TheraDoc, COVID-19 Monoclonal Antibody Infusions, Veterans Health, ID Week 2022, Veterans Affairs Medical Center, DSS TheraDoc solution, TheraDoc Medical Device Interface, antimicrobial stewardship, infectious disease treatment\\n\\nNext\\n PODCAST: Making Strides Against Veterans Suicide \\n \\n Suicide PreventionCindy DumontDecember 5, 2022Mission Daybreak, VA, Veteran Suicides, Machine Learning, Michele Burst, Healthcare IT, Veterans Suicide Prevention, Veterans Health, VHA, Health care solutions, patient safety, FedHealth Forward In response, VA Medical Centers (VAMCs) are fighting back with TheraDoc, DSS’s industry leading software decision support tool that provides real-time electronic clinical surveillance for antimicrobial stewardship and infectious disease. TheraDoc takes disparate hospital data and aggregates it to present a real-time picture of patients’ current status. This omits the need for time-consuming chart reviews by clinicians and provides relevant data for immediate medical intervention as patients’ conditions warrant.\\n\\nTheraDoc is a proven COTS-based solution that delivers best value performance, balancing cost, execution and efficiency. When it comes to Veteran care, best value and past performance must be considered when choosing a healthcare IT solution.'}, {'role': 'user', 'content': 'tell me details of methdology team dss used in mission daybreak?'}, {'role': 'assistant', 'content': \"Based on the information provided, DSS, Inc. has introduced the TheraDoc Medical Device Interface to track and monitor device insertions and removals, associate device presence with healthcare-associated infections (HAIs), and calculate device days for evaluation and required reporting. The TheraDoc Medical Device Interface is part of the TheraDoc solution, which provides real-time electronic clinical surveillance for antimicrobial stewardship and infectious disease.\\n\\nRegarding the methodology team DSS used in Mission Daybreak, the information provided does not specifically mention any details about the methodology used by the team. However, based on the information provided, it can be inferred that the TheraDoc solution and the TheraDoc Medical Device Interface were used to support the Mission Daybreak initiative.\\n\\nThe TheraDoc solution is a proven COTS-based solution that delivers best value performance, balancing cost, execution, and efficiency. It provides real-time electronic clinical surveillance for antimicrobial stewardship and infectious disease, and it aggregates disparate hospital data to present a real-time picture of patients' current status. This allows clinicians to track glucose and medications in real-time, streamline labor-intensive work, and manage diabetic Veterans anywhere, in one place, helping to keep them healthy at home.\\n\\nThe TheraDoc Medical Device Interface is a part of the TheraDoc solution that tracks and monitors device insertions and removals, associates device presence with healthcare-associated infections (HAIs), and calculates device days for evaluation and required reporting. This feature helps to reduce diabetes-related complications, emergency visits, hospitalizations, and readmissions.\\n\\nIn summary, the methodology team DSS used in Mission Daybreak likely involved the use of the TheraDoc solution and the TheraDoc Medical Device Interface to support the initiative. However, without further information, it is not possible to provide more specific details about the methodology used by the team.\"}]\n", "Adding new source...\n", "New source split into the following number of \"texts\": 61\n", "Done adding new source.\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: Mission Daybreak U.S. Department of Veterans Affairs\\n\\nJuly 8, 2022\\n\\nDOCUMENT STORAGE SYSTEMS, INC. 12575 US Highway One, Suite 200 Juno Beach, FL 33408 Telephone: 561-578-9783 Email: jhaefner@dssinc.com Jessica Haefner, Senior Proposal Manager\\n\\nMission Daybreak U.S. Department of Veterans Affairs\\n\\nDocument Storage Systems, Inc. (DSS) is pleased to provide our response to the Mission Daybreak Challenge. We are confident our submission meets the requirements of the request and demonstrates the required technical skills, experience, and personnel to meet all requirements. No federal funds were used in the development of this proposal.\\n\\n1. Solution description. High-level description of the proposed solution, its intended impact,\\n\\nrationale for efficacy, and how it can be implemented. The solution, which would also run in this cloud environment, would receive the audio stream, operator identifier, and patient identifier(s). The patient identifiers would be used to query for and receive back any requisite patient inputs, for example VistA data or other, should any be included in the final trained models. The solution would then use this data and the trained models to generate the risk scores. To fully develop and scale this innovation DSS, Inc. plans to collaborate with other entities, including the VA and its existing systems, and partner companies. Capabilities research has been completed on several companies that fit gaps and have the potential to increase functionality and performance. Partners will be announced in phase two of Mission Daybreak.\\n\\n6. Team description. A description of the team, including each person’s area(s) of expertise,\\n\\nas well as Veteran status, if applicable. 4 | P a g e\\n\\nMission Daybreak U.S. Department of Veterans Affairs\\n\\n3. Evidence framework. Demonstration of evidence-based or evidence-informed decision- making in developing this solution, as well as a framework for defining success, including any relevant citations needed. 7 | P a g e\\n\\nMission Daybreak U.S. Department of Veterans Affairs\\n\\nway we are gathering data is via a set of APIs that will be developed by DSS, who has developed over 40% of the VistA APIs in use at VA. DSS is considered to be the “VistA Experts” within the Healthcare IT community and our knowledge and experience will greatly reduce the risk of these APIs to Medora creating any issues upon implementation. Secondly, risks and barriers are greatly reduced by having all VistA PHI and PII being fed directly to the AI/ML engine for processing behind the scenes and not exposing any of this information to the end user. The AI/ML engine does not have a graphical user interface (GUI), so individuals cannot log in and see the data that is being processed by the engine. The end user only sees the determination of suicide risk on their screens in Medora, not the data that informed the decision. 6. Team description. A description of the team, including each person’s area(s) of expertise,\\n\\nas well as Veteran status, if applicable.\\n\\nThe DSS team has a wealth of knowledge and expertise between our team members necessary to successfully achieve our proposal. The DSS team members include the following:'}, {'role': 'user', 'content': 'tell me details of methodology teamdss used in mission daybreak'}, {'role': 'assistant', 'content': 'Based on the information provided in the document, the methodology used by Team DSS in the Mission Daybreak challenge is as follows:\\n\\n1. Solution description:\\n\\t* The proposed solution is a machine learning-based risk assessment tool that will receive audio streams, operator identifiers, and patient identifiers.\\n\\t* The solution will use the patient identifiers to query for and receive back any requisite patient inputs, such as VistA data or other data, should any be included in the final trained models.\\n\\t* The solution will then use this data and the trained models to generate risk scores.\\n2. Evidence framework:\\n\\t* The team has demonstrated evidence-based or evidence-informed decision-making in developing this solution.\\n\\t* The team has also provided a framework for defining success, including relevant citations.\\n3. Data gathering:\\n\\t* The team is gathering data via a set of APIs that will be developed by DSS.\\n\\t* DSS has developed over 40% of the VistA APIs in use at the VA, and their knowledge and experience will greatly reduce the risk of these APIs to Medora.\\n\\t* The team is also using a risk-based approach by not exposing any PHI or PII to the end user.\\n4. Team description:\\n\\t* The DSS team has a wealth of knowledge and expertise between their team members, including:\\n\\t\\t+ VistA experts\\n\\t\\t+ Machine learning and AI experts\\n\\t\\t+ Healthcare IT experts\\n\\t\\t+ Veteran status (not specified)\\n\\nBased on the information provided, it appears that Team DSS has a strong understanding of the requirements and technical aspects of the Mission Daybreak challenge, and has proposed a solution that leverages their expertise in VistA, machine learning, and healthcare IT to address the challenge.'}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: In response, VA Medical Centers (VAMCs) are fighting back with TheraDoc, DSS’s industry leading software decision support tool that provides real-time electronic clinical surveillance for antimicrobial stewardship and infectious disease. TheraDoc takes disparate hospital data and aggregates it to present a real-time picture of patients’ current status. This omits the need for time-consuming chart reviews by clinicians and provides relevant data for immediate medical intervention as patients’ conditions warrant.\\n\\nTheraDoc is a proven COTS-based solution that delivers best value performance, balancing cost, execution and efficiency. When it comes to Veteran care, best value and past performance must be considered when choosing a healthcare IT solution. Likewise, Diasyst helps patients take control of their condition by tracking their numbers and medications with ease, while gaining insight into what those data means to their health. Veterans using Diasyst receive round-the-clock specialty care and monitoring to manage and maintain healthy glucose levels. This reduces diabetes-related complications, and will ultimately reduce emergency visits, hospitalizations, and readmissions.\\n\\nLearn more and watch how Diasyst works.\\n\\nPlease click here to learn more about DSS’ partnership with Diasyst. In addition, click here to learn more about DSS’ comprehensive suite of federal health IT solutions.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nAmerican Diabetes Association Alert Day,\\n\\ndiabetes,\\n\\nVeterans,\\n\\nVeterans Health,\\n\\nDSS,\\n\\nDiasyst,\\n\\nDiasyst software,\\n\\nDiasyst RPM,\\n\\nRemote Patient Monitoring\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes DSS, Inc. continually improves the delivery of innovative health care technologies to assist clinicians in patient safety and care. For TheraDoc customers DSS, Inc. has introduced the TheraDoc Medical Device Interface. The TheraDoc Medical Device Interface tracks and monitors device insertions and removals, associates device presence with healthcare-associated infections (HAIs) and calculates device days for\\xa0 evaluation and required reporting.\\n\\nDSS TheraDoc is a proven solution that continues to add new functionality in the face of evolving health challenges. For almost \\xa030 years, DSS, Inc. has been improving Veterans’ care and reducing hospital costs.\\n\\nTo learn more about how DSS, Inc. continually supports the VA and veterans, please click here.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nTheraDoc,\\n\\nVeterans Health,\\n\\nUS Department of Veteran Affairs,\\n\\nSuper bugs,\\n\\nPublic health challenges,\\n\\nantimicrobial-resistant infections,\\n\\nCovid infections,\\n\\nVA Medical Centers,\\n\\nCOTS-based solution, To help Veterans combat this serious health risk, DSS, Inc. has partnered with Diasyst, Inc. a leading specialist in the development of chronic disease management solutions.\\n\\n“Virtual medical technology is becoming a standard of care. Diabetes automated, simplified and conquered is the core value of our service. With Diasyst, clinicians and Veterans can track glucose and medications in real time, paving the way to empower care teams, providers, and diabetic patients in managing this chronic disease of our time,” said Chun Yong, CEO, Diasyst.\\n\\nDiasyst helps providers and care teams save time while improving patient care, engagement and satisfaction as it allows care teams to streamline labor-intensive work. With Diasyst, care teams can manage diabetic Veterans anywhere, in one place, helping to keep them healthy at home. Twitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n Tennessee Veterans Affairs Medical Centers Deploy DSS Iconic Data Suicide Prevention Manager (SPM)™ Solution\\n \\n Vets Suicide PreventionCindy DumontMarch 30, 2022HIT, health information technology (HIT) solutions, HIT solutions, Suicide Prevention Manager, SPM, DSS, VA, Veteran Mental Health, Veterans\\n\\nNext\\n DSS, Inc. Presenting Veteran Suicide Prevention Solution at the AMIA 2022 Virtual Informatics Summit\\n \\n DSS News, Vets Suicide PreventionCindy DumontMarch 17, 2022health information technology, HIT, HIT Solutions, AMIA 2022, Suicide prevention, Veterans, mental health, Mark Byers, DSS, DSS News, DSS Iconic Data Suicide Prevention Manager (SPM), Columbia Suicide Severity Rating Scale (C-SSRS), VA, Veterans Administration'}, {'role': 'user', 'content': 'write sql statement to pull patient id, admit time and discharge time'}, {'role': 'assistant', 'content': \"Based on the information provided, here is a SQL statement that can be used to pull patient ID, admit time, and discharge time from the data provided:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime\\nFROM \\n TheraDoc\\nWHERE \\n PatientID IN (SELECT PatientID FROM TheraDoc WHERE VAMC = 'VAMC-12345');\\n```\\nExplanation:\\n\\n* `TheraDoc` is the table where the data is stored.\\n* `PatientID` is the column that contains the unique identifier for each patient.\\n* `AdmitTime` and `DischargeTime` are the columns that contain the dates and times when the patients were admitted and discharged, respectively.\\n* `VAMC` is the column that contains the identifier for the Veterans Affairs Medical Center where the patients were treated.\\n* `IN` is used to filter the rows where the `VAMC` value is 'VAMC-12345'.\\n\\nThis SQL statement will return all the patients who were treated at the VAMC with the identifier 'VAMC-12345', along with their admit and discharge times.\"}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: In response, VA Medical Centers (VAMCs) are fighting back with TheraDoc, DSS’s industry leading software decision support tool that provides real-time electronic clinical surveillance for antimicrobial stewardship and infectious disease. TheraDoc takes disparate hospital data and aggregates it to present a real-time picture of patients’ current status. This omits the need for time-consuming chart reviews by clinicians and provides relevant data for immediate medical intervention as patients’ conditions warrant.\\n\\nTheraDoc is a proven COTS-based solution that delivers best value performance, balancing cost, execution and efficiency. When it comes to Veteran care, best value and past performance must be considered when choosing a healthcare IT solution. Strong clinician support demonstrates the positive impact of using TheraDoc for improved patient safety and care. With 59 VAMC’s around the country using TheraDoc (many for more than 10 years), it’s common to see clinicians sharing best practices and standardization achieved using TheraDoc.\\n\\nThis includes the ability to address ever changing VA and National initiatives without delay and without requiring programming changes. In addition, sites are continually expanding TheraDoc usage into specialty practice areas, particularly Outpatient clinics where Veteran patient needs are great. Time saved using TheraDoc’s aggregate surveillance and alerting means more clinician time can be spent with the patient. DSS, Inc. continually improves the delivery of innovative health care technologies to assist clinicians in patient safety and care. For TheraDoc customers DSS, Inc. has introduced the TheraDoc Medical Device Interface. The TheraDoc Medical Device Interface tracks and monitors device insertions and removals, associates device presence with healthcare-associated infections (HAIs) and calculates device days for\\xa0 evaluation and required reporting.\\n\\nDSS TheraDoc is a proven solution that continues to add new functionality in the face of evolving health challenges. For almost \\xa030 years, DSS, Inc. has been improving Veterans’ care and reducing hospital costs.\\n\\nTo learn more about how DSS, Inc. continually supports the VA and veterans, please click here.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nTheraDoc,\\n\\nVeterans Health,\\n\\nUS Department of Veteran Affairs,\\n\\nSuper bugs,\\n\\nPublic health challenges,\\n\\nantimicrobial-resistant infections,\\n\\nCovid infections,\\n\\nVA Medical Centers,\\n\\nCOTS-based solution, VA Medical Centers,\\n\\nCOTS-based solution,\\n\\ninnovative health care technologies,\\n\\nTheraDoc Medical Device Interface,\\n\\nhealthcare-associated infections\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n DSS TheraDoc Supported COVID-19 Monoclonal Antibody Infusions Workflow at a Veterans Affairs Medical Center\\n \\n Veterans HealthCindy DumontJanuary 30, 2023DSS News, TheraDoc, COVID-19 Monoclonal Antibody Infusions, Veterans Health, ID Week 2022, Veterans Affairs Medical Center, DSS TheraDoc solution, TheraDoc Medical Device Interface, antimicrobial stewardship, infectious disease treatment\\n\\nNext\\n PODCAST: Making Strides Against Veterans Suicide \\n \\n Suicide PreventionCindy DumontDecember 5, 2022Mission Daybreak, VA, Veteran Suicides, Machine Learning, Michele Burst, Healthcare IT, Veterans Suicide Prevention, Veterans Health, VHA, Health care solutions, patient safety, FedHealth Forward Likewise, Diasyst helps patients take control of their condition by tracking their numbers and medications with ease, while gaining insight into what those data means to their health. Veterans using Diasyst receive round-the-clock specialty care and monitoring to manage and maintain healthy glucose levels. This reduces diabetes-related complications, and will ultimately reduce emergency visits, hospitalizations, and readmissions.\\n\\nLearn more and watch how Diasyst works.\\n\\nPlease click here to learn more about DSS’ partnership with Diasyst. In addition, click here to learn more about DSS’ comprehensive suite of federal health IT solutions.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nAmerican Diabetes Association Alert Day,\\n\\ndiabetes,\\n\\nVeterans,\\n\\nVeterans Health,\\n\\nDSS,\\n\\nDiasyst,\\n\\nDiasyst software,\\n\\nDiasyst RPM,\\n\\nRemote Patient Monitoring\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes'}, {'role': 'user', 'content': 'write sql statement to pull patient id, admit time and discharge time'}, {'role': 'assistant', 'content': \"Based on the information provided, here is a SQL statement that can be used to pull patient ID, admit time, and discharge time from the data provided:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime\\nFROM \\n TheraDoc\\nWHERE \\n PatientID IN (SELECT PatientID FROM TheraDoc WHERE VAMC = 'VAMC-12345');\\n```\\nExplanation:\\n\\n* `TheraDoc` is the table where the data is stored.\\n* `PatientID` is the column that contains the unique identifier for each patient.\\n* `AdmitTime` and `DischargeTime` are the columns that contain the dates and times when the patients were admitted and discharged, respectively.\\n* `VAMC` is the column that contains the identifier for the Veterans Affairs Medical Center where the patients were treated.\\n* `IN` is used to filter the rows where the `VAMC` value is 'VAMC-12345'.\\n\\nThis SQL statement will return all the patients who were treated at the VAMC with the identifier 'VAMC-12345', along with their admit and discharge times.\"}, {'role': 'user', 'content': 'modify the code, data is pulled from one table, name is patient_data'}, {'role': 'assistant', 'content': \"Sure! Here's the modified SQL statement that pulls data from the `patient_data` table:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime\\nFROM \\n patient_data\\nWHERE \\n VAMC = 'VAMC-12345';\\n```\\nThis SQL statement will return all the patients who were treated at the VAMC with the identifier 'VAMC-12345', along with their admit and discharge times, based on the data stored in the `patient_data` table.\"}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: In response, VA Medical Centers (VAMCs) are fighting back with TheraDoc, DSS’s industry leading software decision support tool that provides real-time electronic clinical surveillance for antimicrobial stewardship and infectious disease. TheraDoc takes disparate hospital data and aggregates it to present a real-time picture of patients’ current status. This omits the need for time-consuming chart reviews by clinicians and provides relevant data for immediate medical intervention as patients’ conditions warrant.\\n\\nTheraDoc is a proven COTS-based solution that delivers best value performance, balancing cost, execution and efficiency. When it comes to Veteran care, best value and past performance must be considered when choosing a healthcare IT solution. DSS, Inc. continually improves the delivery of innovative health care technologies to assist clinicians in patient safety and care. For TheraDoc customers DSS, Inc. has introduced the TheraDoc Medical Device Interface. The TheraDoc Medical Device Interface tracks and monitors device insertions and removals, associates device presence with healthcare-associated infections (HAIs) and calculates device days for\\xa0 evaluation and required reporting.\\n\\nDSS TheraDoc is a proven solution that continues to add new functionality in the face of evolving health challenges. For almost \\xa030 years, DSS, Inc. has been improving Veterans’ care and reducing hospital costs.\\n\\nTo learn more about how DSS, Inc. continually supports the VA and veterans, please click here.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nTheraDoc,\\n\\nVeterans Health,\\n\\nUS Department of Veteran Affairs,\\n\\nSuper bugs,\\n\\nPublic health challenges,\\n\\nantimicrobial-resistant infections,\\n\\nCovid infections,\\n\\nVA Medical Centers,\\n\\nCOTS-based solution, Likewise, Diasyst helps patients take control of their condition by tracking their numbers and medications with ease, while gaining insight into what those data means to their health. Veterans using Diasyst receive round-the-clock specialty care and monitoring to manage and maintain healthy glucose levels. This reduces diabetes-related complications, and will ultimately reduce emergency visits, hospitalizations, and readmissions.\\n\\nLearn more and watch how Diasyst works.\\n\\nPlease click here to learn more about DSS’ partnership with Diasyst. In addition, click here to learn more about DSS’ comprehensive suite of federal health IT solutions.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nAmerican Diabetes Association Alert Day,\\n\\ndiabetes,\\n\\nVeterans,\\n\\nVeterans Health,\\n\\nDSS,\\n\\nDiasyst,\\n\\nDiasyst software,\\n\\nDiasyst RPM,\\n\\nRemote Patient Monitoring\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes Strong clinician support demonstrates the positive impact of using TheraDoc for improved patient safety and care. With 59 VAMC’s around the country using TheraDoc (many for more than 10 years), it’s common to see clinicians sharing best practices and standardization achieved using TheraDoc.\\n\\nThis includes the ability to address ever changing VA and National initiatives without delay and without requiring programming changes. In addition, sites are continually expanding TheraDoc usage into specialty practice areas, particularly Outpatient clinics where Veteran patient needs are great. Time saved using TheraDoc’s aggregate surveillance and alerting means more clinician time can be spent with the patient. To help Veterans combat this serious health risk, DSS, Inc. has partnered with Diasyst, Inc. a leading specialist in the development of chronic disease management solutions.\\n\\n“Virtual medical technology is becoming a standard of care. Diabetes automated, simplified and conquered is the core value of our service. With Diasyst, clinicians and Veterans can track glucose and medications in real time, paving the way to empower care teams, providers, and diabetic patients in managing this chronic disease of our time,” said Chun Yong, CEO, Diasyst.\\n\\nDiasyst helps providers and care teams save time while improving patient care, engagement and satisfaction as it allows care teams to streamline labor-intensive work. With Diasyst, care teams can manage diabetic Veterans anywhere, in one place, helping to keep them healthy at home.'}, {'role': 'user', 'content': 'write sql statement to pull patient id, admit time and discharge time'}, {'role': 'assistant', 'content': \"Based on the information provided, here is a SQL statement that can be used to pull patient ID, admit time, and discharge time from the data provided:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime\\nFROM \\n TheraDoc\\nWHERE \\n PatientID IN (SELECT PatientID FROM TheraDoc WHERE VAMC = 'VAMC-12345');\\n```\\nExplanation:\\n\\n* `TheraDoc` is the table where the data is stored.\\n* `PatientID` is the column that contains the unique identifier for each patient.\\n* `AdmitTime` and `DischargeTime` are the columns that contain the dates and times when the patients were admitted and discharged, respectively.\\n* `VAMC` is the column that contains the identifier for the Veterans Affairs Medical Center where the patients were treated.\\n* `IN` is used to filter the rows where the `VAMC` value is 'VAMC-12345'.\\n\\nThis SQL statement will return all the patients who were treated at the VAMC with the identifier 'VAMC-12345', along with their admit and discharge times.\"}, {'role': 'user', 'content': 'modify the code, data is pulled from one table, name is patient_data'}, {'role': 'assistant', 'content': \"Sure! Here's the modified SQL statement that pulls data from the `patient_data` table:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime\\nFROM \\n patient_data\\nWHERE \\n VAMC = 'VAMC-12345';\\n```\\nThis SQL statement will return all the patients who were treated at the VAMC with the identifier 'VAMC-12345', along with their admit and discharge times, based on the data stored in the `patient_data` table.\"}, {'role': 'user', 'content': 'modify the code to calculate patient length of stay by admit time and discharge time'}, {'role': 'assistant', 'content': \"Sure! Here's the modified SQL statement that calculates the patient length of stay based on the admit time and discharge time:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime, \\n LengthOfStay = DATEDIFF(DischargeTime, AdmitTime)\\nFROM \\n patient_data\\nWHERE \\n VAMC = 'VAMC-12345';\\n```\\nIn this modified SQL statement, the `LENGTHOFSTAY` column is calculated using the `DATEDIFF` function, which calculates the difference between two dates in days. The `DATEDIFF` function takes two arguments: the first is the date to start the calculation from, and the second is the date to end the calculation at. In this case, we start the calculation from the `AdmitTime` and end it at the `DischargeTime`.\\n\\nThe `LENGTHOFSTAY` column is then added to the select list, so that the resulting rows will include the length of stay for each patient.\\n\\nNote that the `DATEDIFF` function returns the difference in days, so the result will be a whole number of days. If you want to include fractional days, you can use the `DATEDIFF` function with the `with units` option, like this:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime, \\n LengthOfStay = DATEDIFF(DischargeTime, AdmitTime, 'day')\\nFROM \\n patient_data\\nWHERE \\n VAMC = 'VAMC-12345';\\n```\\nThis will return the length of stay in days, including fractional days.\"}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: Strong clinician support demonstrates the positive impact of using TheraDoc for improved patient safety and care. With 59 VAMC’s around the country using TheraDoc (many for more than 10 years), it’s common to see clinicians sharing best practices and standardization achieved using TheraDoc.\\n\\nThis includes the ability to address ever changing VA and National initiatives without delay and without requiring programming changes. In addition, sites are continually expanding TheraDoc usage into specialty practice areas, particularly Outpatient clinics where Veteran patient needs are great. Time saved using TheraDoc’s aggregate surveillance and alerting means more clinician time can be spent with the patient. In response, VA Medical Centers (VAMCs) are fighting back with TheraDoc, DSS’s industry leading software decision support tool that provides real-time electronic clinical surveillance for antimicrobial stewardship and infectious disease. TheraDoc takes disparate hospital data and aggregates it to present a real-time picture of patients’ current status. This omits the need for time-consuming chart reviews by clinicians and provides relevant data for immediate medical intervention as patients’ conditions warrant.\\n\\nTheraDoc is a proven COTS-based solution that delivers best value performance, balancing cost, execution and efficiency. When it comes to Veteran care, best value and past performance must be considered when choosing a healthcare IT solution. DSS, Inc. continually improves the delivery of innovative health care technologies to assist clinicians in patient safety and care. For TheraDoc customers DSS, Inc. has introduced the TheraDoc Medical Device Interface. The TheraDoc Medical Device Interface tracks and monitors device insertions and removals, associates device presence with healthcare-associated infections (HAIs) and calculates device days for\\xa0 evaluation and required reporting.\\n\\nDSS TheraDoc is a proven solution that continues to add new functionality in the face of evolving health challenges. For almost \\xa030 years, DSS, Inc. has been improving Veterans’ care and reducing hospital costs.\\n\\nTo learn more about how DSS, Inc. continually supports the VA and veterans, please click here.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nTheraDoc,\\n\\nVeterans Health,\\n\\nUS Department of Veteran Affairs,\\n\\nSuper bugs,\\n\\nPublic health challenges,\\n\\nantimicrobial-resistant infections,\\n\\nCovid infections,\\n\\nVA Medical Centers,\\n\\nCOTS-based solution, Likewise, Diasyst helps patients take control of their condition by tracking their numbers and medications with ease, while gaining insight into what those data means to their health. Veterans using Diasyst receive round-the-clock specialty care and monitoring to manage and maintain healthy glucose levels. This reduces diabetes-related complications, and will ultimately reduce emergency visits, hospitalizations, and readmissions.\\n\\nLearn more and watch how Diasyst works.\\n\\nPlease click here to learn more about DSS’ partnership with Diasyst. In addition, click here to learn more about DSS’ comprehensive suite of federal health IT solutions.\\n\\nVeterans Health\\n\\nCindy Dumont\\n\\nAmerican Diabetes Association Alert Day,\\n\\ndiabetes,\\n\\nVeterans,\\n\\nVeterans Health,\\n\\nDSS,\\n\\nDiasyst,\\n\\nDiasyst software,\\n\\nDiasyst RPM,\\n\\nRemote Patient Monitoring\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes DSS TheraDoc Helps Battle Super Bugs for Better Veteran Health\\n\\nEffectiveness of the TheraDoc Solution Shown by Strong Contract Renewal Rates\\n\\nAntibiotic resistance is one of the biggest public health challenges of our time. In the U.S., more than 2.8 million antimicrobial-resistant infections occur every year. When antibiotics are over prescribed or prescribed inappropriately, they become less effective in treating certain infections, creating “super bugs” resistant to medication. Patients die unnecessarily, and billions of dollars are lost to ineffective care and lost productivity.\\n\\nRecent studies show that the first wave of Covid infections in 2020 created the perfect environment for the spread of superbugs. Deaths from drug-resistant bacterial and fungal infections spiked in U.S. hospitals, and the World Health Organization calls drug-resistant pathogens one of the 10 greatest public health threats to humanity.'}, {'role': 'user', 'content': 'write sql statement to pull patient id, admit time and discharge time'}, {'role': 'assistant', 'content': \"Based on the information provided, here is a SQL statement that can be used to pull patient ID, admit time, and discharge time from the data provided:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime\\nFROM \\n TheraDoc\\nWHERE \\n PatientID IN (SELECT PatientID FROM TheraDoc WHERE VAMC = 'VAMC-12345');\\n```\\nExplanation:\\n\\n* `TheraDoc` is the table where the data is stored.\\n* `PatientID` is the column that contains the unique identifier for each patient.\\n* `AdmitTime` and `DischargeTime` are the columns that contain the dates and times when the patients were admitted and discharged, respectively.\\n* `VAMC` is the column that contains the identifier for the Veterans Affairs Medical Center where the patients were treated.\\n* `IN` is used to filter the rows where the `VAMC` value is 'VAMC-12345'.\\n\\nThis SQL statement will return all the patients who were treated at the VAMC with the identifier 'VAMC-12345', along with their admit and discharge times.\"}, {'role': 'user', 'content': 'modify the code, data is pulled from one table, name is patient_data'}, {'role': 'assistant', 'content': \"Sure! Here's the modified SQL statement that pulls data from the `patient_data` table:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime\\nFROM \\n patient_data\\nWHERE \\n VAMC = 'VAMC-12345';\\n```\\nThis SQL statement will return all the patients who were treated at the VAMC with the identifier 'VAMC-12345', along with their admit and discharge times, based on the data stored in the `patient_data` table.\"}, {'role': 'user', 'content': 'modify the code to calculate patient length of stay by admit time and discharge time'}, {'role': 'assistant', 'content': \"Sure! Here's the modified SQL statement that calculates the patient length of stay based on the admit time and discharge time:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime, \\n LengthOfStay = DATEDIFF(DischargeTime, AdmitTime)\\nFROM \\n patient_data\\nWHERE \\n VAMC = 'VAMC-12345';\\n```\\nIn this modified SQL statement, the `LENGTHOFSTAY` column is calculated using the `DATEDIFF` function, which calculates the difference between two dates in days. The `DATEDIFF` function takes two arguments: the first is the date to start the calculation from, and the second is the date to end the calculation at. In this case, we start the calculation from the `AdmitTime` and end it at the `DischargeTime`.\\n\\nThe `LENGTHOFSTAY` column is then added to the select list, so that the resulting rows will include the length of stay for each patient.\\n\\nNote that the `DATEDIFF` function returns the difference in days, so the result will be a whole number of days. If you want to include fractional days, you can use the `DATEDIFF` function with the `with units` option, like this:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime, \\n LengthOfStay = DATEDIFF(DischargeTime, AdmitTime, 'day')\\nFROM \\n patient_data\\nWHERE \\n VAMC = 'VAMC-12345';\\n```\\nThis will return the length of stay in days, including fractional days.\"}, {'role': 'user', 'content': 'modify the code to pull five patients who has the longest length of stay'}, {'role': 'assistant', 'content': \"Sure! Here's the modified SQL statement that pulls five patients who have the longest length of stay:\\n```\\nSELECT \\n PatientID, \\n AdmitTime, \\n DischargeTime, \\n LengthOfStay = DATEDIFF(DischargeTime, AdmitTime)\\nFROM \\n patient_data\\nWHERE \\n VAMC = 'VAMC-12345'\\nORDER BY \\n LengthOfStay DESC\\nLIMIT \\n 5;\\n```\\nIn this modified SQL statement, we added an `ORDER BY` clause to sort the results by the `LENGTHOFSTAY` column in descending order (i.e., highest to lowest). We also added a `LIMIT` clause to limit the number of rows returned to 5.\\n\\nThis will return the five patients who have the longest length of stay, based on the data stored in the `patient_data` table.\"}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: VA Medical Centers,\\n\\nCOTS-based solution,\\n\\ninnovative health care technologies,\\n\\nTheraDoc Medical Device Interface,\\n\\nhealthcare-associated infections\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n DSS TheraDoc Supported COVID-19 Monoclonal Antibody Infusions Workflow at a Veterans Affairs Medical Center\\n \\n Veterans HealthCindy DumontJanuary 30, 2023DSS News, TheraDoc, COVID-19 Monoclonal Antibody Infusions, Veterans Health, ID Week 2022, Veterans Affairs Medical Center, DSS TheraDoc solution, TheraDoc Medical Device Interface, antimicrobial stewardship, infectious disease treatment\\n\\nNext\\n PODCAST: Making Strides Against Veterans Suicide \\n \\n Suicide PreventionCindy DumontDecember 5, 2022Mission Daybreak, VA, Veteran Suicides, Machine Learning, Michele Burst, Healthcare IT, Veterans Suicide Prevention, Veterans Health, VHA, Health care solutions, patient safety, FedHealth Forward In response, VA Medical Centers (VAMCs) are fighting back with TheraDoc, DSS’s industry leading software decision support tool that provides real-time electronic clinical surveillance for antimicrobial stewardship and infectious disease. TheraDoc takes disparate hospital data and aggregates it to present a real-time picture of patients’ current status. This omits the need for time-consuming chart reviews by clinicians and provides relevant data for immediate medical intervention as patients’ conditions warrant.\\n\\nTheraDoc is a proven COTS-based solution that delivers best value performance, balancing cost, execution and efficiency. When it comes to Veteran care, best value and past performance must be considered when choosing a healthcare IT solution. Strong clinician support demonstrates the positive impact of using TheraDoc for improved patient safety and care. With 59 VAMC’s around the country using TheraDoc (many for more than 10 years), it’s common to see clinicians sharing best practices and standardization achieved using TheraDoc.\\n\\nThis includes the ability to address ever changing VA and National initiatives without delay and without requiring programming changes. In addition, sites are continually expanding TheraDoc usage into specialty practice areas, particularly Outpatient clinics where Veteran patient needs are great. Time saved using TheraDoc’s aggregate surveillance and alerting means more clinician time can be spent with the patient. Twitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n Tennessee Veterans Affairs Medical Centers Deploy DSS Iconic Data Suicide Prevention Manager (SPM)™ Solution\\n \\n Vets Suicide PreventionCindy DumontMarch 30, 2022HIT, health information technology (HIT) solutions, HIT solutions, Suicide Prevention Manager, SPM, DSS, VA, Veteran Mental Health, Veterans\\n\\nNext\\n DSS, Inc. Presenting Veteran Suicide Prevention Solution at the AMIA 2022 Virtual Informatics Summit\\n \\n DSS News, Vets Suicide PreventionCindy DumontMarch 17, 2022health information technology, HIT, HIT Solutions, AMIA 2022, Suicide prevention, Veterans, mental health, Mark Byers, DSS, DSS News, DSS Iconic Data Suicide Prevention Manager (SPM), Columbia Suicide Severity Rating Scale (C-SSRS), VA, Veterans Administration But the private sector can certainly help. The VA is being very open to hearing from industry about how to modernize their supply chain. Rather than going for a “big bang” contract that tries to incorporate every requirement so early in the process, the VA is creating a mechanism for industry to share supply chain best practices and encourage innovation in a test environment to evaluate solutions, explore incremental changes, and continuously improve before embarking on a large-scale deployment.\\n\\nThese are some of the themes of a recent editorial published by Federal News Network, written by Gregory Giddens and David Whitmer. Giddens is the former chief acquisition officer at the Department of Veterans Affairs, and Whitmer is chief strategy officer at DSS, Inc., and a board-certified health care executive with 30 years of public health experience at the National Institutes of Health and the Veterans Health Administration.'}, {'role': 'user', 'content': 'write code of vista api using mumps'}, {'role': 'assistant', 'content': \"As a helpful AI assistant, I can provide information on VA Medical Centers, COTS-based solutions, and innovative healthcare technologies. However, I cannot provide code for Vista API using MUMPS as it is not within my knowledge domain.\\n\\nRegarding VA Medical Centers, it is known that they are using TheraDoc, a COTS-based solution for antimicrobial stewardship and infectious disease management. TheraDoc provides real-time electronic clinical surveillance, aggregating disparate hospital data to present a real-time picture of patients' current status, omitting the need for time-consuming chart reviews by clinicians. This solution has been adopted by 59 VAMCs across the country, with clinicians sharing best practices and achieving standardization using TheraDoc.\\n\\nIn addition, the VA is open to hearing from industry about modernizing their supply chain, and the private sector can certainly help. The VA is creating a mechanism for industry to share supply chain best practices and encourage innovation in a test environment to evaluate solutions, explore incremental changes, and continuously improve before embarking on a large-scale deployment.\\n\\nIf you have any further questions or need more information, please feel free to ask.\"}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: VA Medical Centers,\\n\\nCOTS-based solution,\\n\\ninnovative health care technologies,\\n\\nTheraDoc Medical Device Interface,\\n\\nhealthcare-associated infections\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n DSS TheraDoc Supported COVID-19 Monoclonal Antibody Infusions Workflow at a Veterans Affairs Medical Center\\n \\n Veterans HealthCindy DumontJanuary 30, 2023DSS News, TheraDoc, COVID-19 Monoclonal Antibody Infusions, Veterans Health, ID Week 2022, Veterans Affairs Medical Center, DSS TheraDoc solution, TheraDoc Medical Device Interface, antimicrobial stewardship, infectious disease treatment\\n\\nNext\\n PODCAST: Making Strides Against Veterans Suicide \\n \\n Suicide PreventionCindy DumontDecember 5, 2022Mission Daybreak, VA, Veteran Suicides, Machine Learning, Michele Burst, Healthcare IT, Veterans Suicide Prevention, Veterans Health, VHA, Health care solutions, patient safety, FedHealth Forward In response, VA Medical Centers (VAMCs) are fighting back with TheraDoc, DSS’s industry leading software decision support tool that provides real-time electronic clinical surveillance for antimicrobial stewardship and infectious disease. TheraDoc takes disparate hospital data and aggregates it to present a real-time picture of patients’ current status. This omits the need for time-consuming chart reviews by clinicians and provides relevant data for immediate medical intervention as patients’ conditions warrant.\\n\\nTheraDoc is a proven COTS-based solution that delivers best value performance, balancing cost, execution and efficiency. When it comes to Veteran care, best value and past performance must be considered when choosing a healthcare IT solution. Strong clinician support demonstrates the positive impact of using TheraDoc for improved patient safety and care. With 59 VAMC’s around the country using TheraDoc (many for more than 10 years), it’s common to see clinicians sharing best practices and standardization achieved using TheraDoc.\\n\\nThis includes the ability to address ever changing VA and National initiatives without delay and without requiring programming changes. In addition, sites are continually expanding TheraDoc usage into specialty practice areas, particularly Outpatient clinics where Veteran patient needs are great. Time saved using TheraDoc’s aggregate surveillance and alerting means more clinician time can be spent with the patient. But the private sector can certainly help. The VA is being very open to hearing from industry about how to modernize their supply chain. Rather than going for a “big bang” contract that tries to incorporate every requirement so early in the process, the VA is creating a mechanism for industry to share supply chain best practices and encourage innovation in a test environment to evaluate solutions, explore incremental changes, and continuously improve before embarking on a large-scale deployment.\\n\\nThese are some of the themes of a recent editorial published by Federal News Network, written by Gregory Giddens and David Whitmer. Giddens is the former chief acquisition officer at the Department of Veterans Affairs, and Whitmer is chief strategy officer at DSS, Inc., and a board-certified health care executive with 30 years of public health experience at the National Institutes of Health and the Veterans Health Administration. Twitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n Tennessee Veterans Affairs Medical Centers Deploy DSS Iconic Data Suicide Prevention Manager (SPM)™ Solution\\n \\n Vets Suicide PreventionCindy DumontMarch 30, 2022HIT, health information technology (HIT) solutions, HIT solutions, Suicide Prevention Manager, SPM, DSS, VA, Veteran Mental Health, Veterans\\n\\nNext\\n DSS, Inc. Presenting Veteran Suicide Prevention Solution at the AMIA 2022 Virtual Informatics Summit\\n \\n DSS News, Vets Suicide PreventionCindy DumontMarch 17, 2022health information technology, HIT, HIT Solutions, AMIA 2022, Suicide prevention, Veterans, mental health, Mark Byers, DSS, DSS News, DSS Iconic Data Suicide Prevention Manager (SPM), Columbia Suicide Severity Rating Scale (C-SSRS), VA, Veterans Administration'}, {'role': 'user', 'content': 'write code of vista api using mumps'}, {'role': 'assistant', 'content': \"As a helpful AI assistant, I can provide information on VA Medical Centers, COTS-based solutions, and innovative healthcare technologies. However, I cannot provide code for Vista API using MUMPS as it is not within my knowledge domain.\\n\\nRegarding VA Medical Centers, it is known that they are using TheraDoc, a COTS-based solution for antimicrobial stewardship and infectious disease management. TheraDoc provides real-time electronic clinical surveillance, aggregating disparate hospital data to present a real-time picture of patients' current status, omitting the need for time-consuming chart reviews by clinicians. This solution has been adopted by 59 VAMCs across the country, with clinicians sharing best practices and achieving standardization using TheraDoc.\\n\\nIn addition, the VA is open to hearing from industry about modernizing their supply chain, and the private sector can certainly help. The VA is creating a mechanism for industry to share supply chain best practices and encourage innovation in a test environment to evaluate solutions, explore incremental changes, and continuously improve before embarking on a large-scale deployment.\\n\\nIf you have any further questions or need more information, please feel free to ask.\"}, {'role': 'user', 'content': 'write an example code of vista api using mumps'}, {'role': 'assistant', 'content': 'As a helpful AI assistant, I cannot provide example code for Vista API using MUMPS as it is not within my knowledge domain. MUMPS is a programming language used for healthcare information systems, and Vista API is a set of application programming interfaces (APIs) for Windows Vista.\\n\\nHowever, I can provide some information on MUMPS and its capabilities. MUMPS (Micro-Unix Multi-Purpose Server) is a programming language and database system used for healthcare information systems, particularly in the Veterans Health Information Systems and Technology Architecture (VISTA) system. It is a high-level, non-procedural language that supports object-oriented programming and is used for developing clinical and administrative applications.\\n\\nMUMPS has a wide range of capabilities, including:\\n\\n1. Database management: MUMPS can handle large amounts of data and perform complex queries and updates.\\n2. Object-oriented programming: MUMPS supports object-oriented programming, which allows for modular and reusable code.\\n3. Integration with other systems: MUMPS can integrate with other systems, such as laboratory and radiology systems, to provide a comprehensive healthcare information system.\\n4. Clinical decision support: MUMPS can provide clinical decision support through the use of rules and algorithms.\\n5. Reporting and analytics: MUMPS can generate reports and perform analytics on large datasets.\\n\\nIf you have any further questions or need more information on MUMPS or Vista API, please feel free to ask.'}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: '}, {'role': 'user', 'content': 'write java script of a function to calculate Fibonacci'}, {'role': 'assistant', 'content': 'Certainly! Here is a JavaScript function to calculate the Fibonacci sequence:\\n\\nfunction fibonacci(n) {\\n if (n <= 1) {\\n return n;\\n }\\n return fibonacci(n-1) + fibonacci(n-2);\\n}\\n\\nYour knowledge:\\n\\nThe Fibonacci sequence is a series of numbers where each number is the sum of the two preceding numbers, starting from 0 and 1. The first few numbers of the sequence are: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...\\n\\nPlease note that this function will only work for positive integers, and will return an error for any other input.'}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: '}, {'role': 'user', 'content': 'write java script of a function to calculate Fibonacci'}, {'role': 'assistant', 'content': 'Certainly! Here is a JavaScript function to calculate the Fibonacci sequence:\\n\\nfunction fibonacci(n) {\\n if (n <= 1) {\\n return n;\\n }\\n return fibonacci(n-1) + fibonacci(n-2);\\n}\\n\\nYour knowledge:\\n\\nThe Fibonacci sequence is a series of numbers where each number is the sum of the two preceding numbers, starting from 0 and 1. The first few numbers of the sequence are: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...\\n\\nPlease note that this function will only work for positive integers, and will return an error for any other input.'}, {'role': 'user', 'content': 'write python code to pull google stock data and make a candlestick plot'}, {'role': 'assistant', 'content': \"To pull Google stock data and make a candlestick plot in Python, you can use the `google-finance` library to retrieve the data and the `matplotlib` library to create the plot. Here's an example of how you could do this:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom google.finance import get_data\\n\\n# Define the stock symbol and time frame\\nstock = 'GOOG'\\ntime_frame = '1d'\\n\\n# Retrieve the data\\ndata = get_data(stock, time_frame)\\n\\n# Convert the data to a pandas DataFrame\\ndf = pd.DataFrame(data)\\n\\n# Create a candlestick plot\\nfig, ax = plt.subplots()\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='green')\\nax.set_title('Candlestick Plot of Google Stock')\\nax.set_xlabel('Time')\\nax.set_ylabel('Price')\\n\\n# Show the plot\\nplt.show()\\n```\\nThis code will retrieve the stock data for Google (GOOG) for the past day and create a candlestick plot of the data. The plot will show the open, high, low, and close prices for each time period, with the color of the candle indicating the direction of the price movement (green for up, red for down).\\n\\nYou can customize the plot as needed by adding additional parameters to the `candlestick()` function, such as `width` to set the width of the candles, `color` to set the color of the candles, and `edgecolor` to set the color of the edges of the candles.\\n\\nFor example, to set the width of the candles to 2 and the color of the candles to red, you could use the following code:\\n```\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='red', width=2)\\n```\\nYou can also add additional elements to the plot, such as a title, axis labels, and legends, using the `set_title()`, `set_xlabel()`, `set_ylabel()`, and `legend()` functions.\\n\\nI hope this helps! Let me know if you have any questions or if you'd like more information.\"}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: '}, {'role': 'user', 'content': 'write java script of a function to calculate Fibonacci'}, {'role': 'assistant', 'content': 'Certainly! Here is a JavaScript function to calculate the Fibonacci sequence:\\n\\nfunction fibonacci(n) {\\n if (n <= 1) {\\n return n;\\n }\\n return fibonacci(n-1) + fibonacci(n-2);\\n}\\n\\nYour knowledge:\\n\\nThe Fibonacci sequence is a series of numbers where each number is the sum of the two preceding numbers, starting from 0 and 1. The first few numbers of the sequence are: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...\\n\\nPlease note that this function will only work for positive integers, and will return an error for any other input.'}, {'role': 'user', 'content': 'write python code to pull google stock data and make a candlestick plot'}, {'role': 'assistant', 'content': \"To pull Google stock data and make a candlestick plot in Python, you can use the `google-finance` library to retrieve the data and the `matplotlib` library to create the plot. Here's an example of how you could do this:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom google.finance import get_data\\n\\n# Define the stock symbol and time frame\\nstock = 'GOOG'\\ntime_frame = '1d'\\n\\n# Retrieve the data\\ndata = get_data(stock, time_frame)\\n\\n# Convert the data to a pandas DataFrame\\ndf = pd.DataFrame(data)\\n\\n# Create a candlestick plot\\nfig, ax = plt.subplots()\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='green')\\nax.set_title('Candlestick Plot of Google Stock')\\nax.set_xlabel('Time')\\nax.set_ylabel('Price')\\n\\n# Show the plot\\nplt.show()\\n```\\nThis code will retrieve the stock data for Google (GOOG) for the past day and create a candlestick plot of the data. The plot will show the open, high, low, and close prices for each time period, with the color of the candle indicating the direction of the price movement (green for up, red for down).\\n\\nYou can customize the plot as needed by adding additional parameters to the `candlestick()` function, such as `width` to set the width of the candles, `color` to set the color of the candles, and `edgecolor` to set the color of the edges of the candles.\\n\\nFor example, to set the width of the candles to 2 and the color of the candles to red, you could use the following code:\\n```\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='red', width=2)\\n```\\nYou can also add additional elements to the plot, such as a title, axis labels, and legends, using the `set_title()`, `set_xlabel()`, `set_ylabel()`, and `legend()` functions.\\n\\nI hope this helps! Let me know if you have any questions or if you'd like more information.\"}, {'role': 'user', 'content': 'write c# code to calculate fibonacci'}, {'role': 'assistant', 'content': 'Sure! Here is an example of how you can calculate the Fibonacci sequence in C#:\\n```\\nclass Program\\n{\\n static void Main(string[] args)\\n {\\n int n = 8; // enter the number you want to calculate the Fibonacci sequence up to\\n\\n int[] fibonacci = CalculateFibonacci(n);\\n\\n Console.WriteLine(\"Fibonacci sequence up to \" + n + \":\");\\n for (int i = 0; i < fibonacci.Length; i++)\\n {\\n Console.WriteLine(fibonacci[i]);\\n }\\n }\\n\\n static int[] CalculateFibonacci(int n)\\n {\\n int[] fibonacci = new int[n + 1];\\n\\n fibonacci[0] = 0;\\n fibonacci[1] = 1;\\n\\n for (int i = 2; i < fibonacci.Length; i++)\\n {\\n fibonacci[i] = fibonacci[i - 1] + fibonacci[i - 2];\\n }\\n\\n return fibonacci;\\n }\\n}\\n```\\nThis code will calculate the Fibonacci sequence up to the number you specify, and then print the sequence to the console.\\n\\nHere\\'s how the code works:\\n\\n1. The `CalculateFibonacci` method takes an integer `n` as input, and returns an array of `n + 1` integers representing the Fibonacci sequence up to `n`.\\n2. The method initializes the first two elements of the array to 0 and 1, respectively.\\n3. The method then iterates over the remaining elements of the array, using the recurrence relation to calculate each element. Specifically, the `i`th element is set to the sum of the `i - 1`th and `i - 2`th elements.\\n4. The method returns the fully calculated array.\\n5. In the `Main` method, the `CalculateFibonacci` method is called with the number you want to calculate the sequence up to, and the resulting array is printed to the console.\\n\\nFor example, if you run the code with `n = 8`, the output will be:\\n```\\nFibonacci sequence up to 8:\\n0\\n1\\n1\\n2\\n3\\n5\\n8\\n```\\nI hope this helps! Let me know if you have any questions.'}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: '}, {'role': 'user', 'content': 'write java script of a function to calculate Fibonacci'}, {'role': 'assistant', 'content': 'Certainly! Here is a JavaScript function to calculate the Fibonacci sequence:\\n\\nfunction fibonacci(n) {\\n if (n <= 1) {\\n return n;\\n }\\n return fibonacci(n-1) + fibonacci(n-2);\\n}\\n\\nYour knowledge:\\n\\nThe Fibonacci sequence is a series of numbers where each number is the sum of the two preceding numbers, starting from 0 and 1. The first few numbers of the sequence are: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...\\n\\nPlease note that this function will only work for positive integers, and will return an error for any other input.'}, {'role': 'user', 'content': 'write python code to pull google stock data and make a candlestick plot'}, {'role': 'assistant', 'content': \"To pull Google stock data and make a candlestick plot in Python, you can use the `google-finance` library to retrieve the data and the `matplotlib` library to create the plot. Here's an example of how you could do this:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom google.finance import get_data\\n\\n# Define the stock symbol and time frame\\nstock = 'GOOG'\\ntime_frame = '1d'\\n\\n# Retrieve the data\\ndata = get_data(stock, time_frame)\\n\\n# Convert the data to a pandas DataFrame\\ndf = pd.DataFrame(data)\\n\\n# Create a candlestick plot\\nfig, ax = plt.subplots()\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='green')\\nax.set_title('Candlestick Plot of Google Stock')\\nax.set_xlabel('Time')\\nax.set_ylabel('Price')\\n\\n# Show the plot\\nplt.show()\\n```\\nThis code will retrieve the stock data for Google (GOOG) for the past day and create a candlestick plot of the data. The plot will show the open, high, low, and close prices for each time period, with the color of the candle indicating the direction of the price movement (green for up, red for down).\\n\\nYou can customize the plot as needed by adding additional parameters to the `candlestick()` function, such as `width` to set the width of the candles, `color` to set the color of the candles, and `edgecolor` to set the color of the edges of the candles.\\n\\nFor example, to set the width of the candles to 2 and the color of the candles to red, you could use the following code:\\n```\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='red', width=2)\\n```\\nYou can also add additional elements to the plot, such as a title, axis labels, and legends, using the `set_title()`, `set_xlabel()`, `set_ylabel()`, and `legend()` functions.\\n\\nI hope this helps! Let me know if you have any questions or if you'd like more information.\"}, {'role': 'user', 'content': 'write c# code to calculate fibonacci'}, {'role': 'assistant', 'content': 'Sure! Here is an example of how you can calculate the Fibonacci sequence in C#:\\n```\\nclass Program\\n{\\n static void Main(string[] args)\\n {\\n int n = 8; // enter the number you want to calculate the Fibonacci sequence up to\\n\\n int[] fibonacci = CalculateFibonacci(n);\\n\\n Console.WriteLine(\"Fibonacci sequence up to \" + n + \":\");\\n for (int i = 0; i < fibonacci.Length; i++)\\n {\\n Console.WriteLine(fibonacci[i]);\\n }\\n }\\n\\n static int[] CalculateFibonacci(int n)\\n {\\n int[] fibonacci = new int[n + 1];\\n\\n fibonacci[0] = 0;\\n fibonacci[1] = 1;\\n\\n for (int i = 2; i < fibonacci.Length; i++)\\n {\\n fibonacci[i] = fibonacci[i - 1] + fibonacci[i - 2];\\n }\\n\\n return fibonacci;\\n }\\n}\\n```\\nThis code will calculate the Fibonacci sequence up to the number you specify, and then print the sequence to the console.\\n\\nHere\\'s how the code works:\\n\\n1. The `CalculateFibonacci` method takes an integer `n` as input, and returns an array of `n + 1` integers representing the Fibonacci sequence up to `n`.\\n2. The method initializes the first two elements of the array to 0 and 1, respectively.\\n3. The method then iterates over the remaining elements of the array, using the recurrence relation to calculate each element. Specifically, the `i`th element is set to the sum of the `i - 1`th and `i - 2`th elements.\\n4. The method returns the fully calculated array.\\n5. In the `Main` method, the `CalculateFibonacci` method is called with the number you want to calculate the sequence up to, and the resulting array is printed to the console.\\n\\nFor example, if you run the code with `n = 8`, the output will be:\\n```\\nFibonacci sequence up to 8:\\n0\\n1\\n1\\n2\\n3\\n5\\n8\\n```\\nI hope this helps! Let me know if you have any questions.'}, {'role': 'user', 'content': 'write a delphi code to calcuate fibonacci'}, {'role': 'assistant', 'content': \"Sure! Here is an example of how you can calculate the Fibonacci sequence in Delphi using the `Fibonacci` function:\\n```\\nprogram Fibonacci;\\n\\nuses\\n System.StartUpCopy,\\n System.Math;\\n\\nconst\\n FIBONACCI_MAX = 8;\\n\\nvar\\n FibonacciArray: array [1..FIBONACCI_MAX] of Integer;\\n i: Integer;\\n\\nbegin\\n FibonacciArray := (0, 1, 1, 2, 3, 5, 8);\\n\\n for i := Low(FibonacciArray) to High(FibonacciArray) do\\n Writeln(FibonacciArray[i]);\\n\\n Readln;\\nend;\\n\\nfunction Fibonacci(n: Integer): Integer;\\nbegin\\n if n <= 1 then\\n Result := n\\n else\\n Result := Fibonacci(n - 1) + Fibonacci(n - 2);\\nend;\\n\\n```\\nThis code will calculate the Fibonacci sequence up to the specified maximum value and print the results to the console.\\n\\nHere's how the code works:\\n\\n1. The `FIBONACCI_MAX` constant is set to 8, which is the maximum value of the Fibonacci sequence we want to calculate.\\n2. The `FibonacciArray` variable is declared as an array of integers, with the first element set to 0 and the second element set to 1. These are the starting values for the Fibonacci sequence.\\n3. The `for` loop iterates over the `FibonacciArray` and prints each element to the console.\\n4. The `Fibonacci` function takes an integer `n` as input and returns the `n`th element of the Fibonacci sequence. The function uses a recursive approach to calculate the sequence, where each element is the sum of the previous two elements.\\n5. The `if` statement checks if `n` is less than or equal to 1, in which case the function returns `n` directly. Otherwise, it calls itself with `n - 1` and `n - 2` as inputs, and adds the results to get the final value of the `n`th element.\\n\\nFor example, if you run the code with `n = 8`, the output will be:\\n```\\n0\\n1\\n1\\n2\\n3\\n5\\n8\\n```\\nI hope this helps! Let me know if you have any questions.\"}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: March 22 is Diabetes Alertness Day: A helpful reminder to monitor and prevent diabetes\\n\\nEvery fourth Tuesday of March, millions of Americans observe the American Diabetes Association Alert Day as part of the Association’s ongoing diabetes prevention and education efforts in the United States.\\n\\nMoreover, the prevalence of diabetes and other chronic diseases in the Veteran population is a serious challenge to Department of Veterans Affairs’ (VA) mission of delivering the best possible quality care for Veterans.\\n\\nOne in four Veterans had diabetes in 2017 according to the National Diabetes Statistics Reports. Since then, the diagnosis of diabetes has continued to rise in this country.\\n\\nThis modern day, being able to monitor diabetes calls for an effective virtual diabetes and chronic disease monitoring and management solution at patient’s fingertips. Twitter\\n\\nLinkedIn0\\n\\n0 Likes\\n\\nPrevious\\n Tennessee Veterans Affairs Medical Centers Deploy DSS Iconic Data Suicide Prevention Manager (SPM)™ Solution\\n \\n Vets Suicide PreventionCindy DumontMarch 30, 2022HIT, health information technology (HIT) solutions, HIT solutions, Suicide Prevention Manager, SPM, DSS, VA, Veteran Mental Health, Veterans\\n\\nNext\\n DSS, Inc. Presenting Veteran Suicide Prevention Solution at the AMIA 2022 Virtual Informatics Summit\\n \\n DSS News, Vets Suicide PreventionCindy DumontMarch 17, 2022health information technology, HIT, HIT Solutions, AMIA 2022, Suicide prevention, Veterans, mental health, Mark Byers, DSS, DSS News, DSS Iconic Data Suicide Prevention Manager (SPM), Columbia Suicide Severity Rating Scale (C-SSRS), VA, Veterans Administration Next\\n DSS, Inc. Presenting at The Spring 2022 DoD/VA & Government HIT Summit\\n \\n DSS NewsCindy DumontMay 2, 2022DSS, DSS New, Va, Veterans Health, Veterans Health Administration, health information technology (HIT) solutions, HIT, HIT Solutions, Dr. David LaBorde, The Spring 2022 DoD/VA & Government HIT, Dr. Barbara Van Dahlen Strong clinician support demonstrates the positive impact of using TheraDoc for improved patient safety and care. With 59 VAMC’s around the country using TheraDoc (many for more than 10 years), it’s common to see clinicians sharing best practices and standardization achieved using TheraDoc.\\n\\nThis includes the ability to address ever changing VA and National initiatives without delay and without requiring programming changes. In addition, sites are continually expanding TheraDoc usage into specialty practice areas, particularly Outpatient clinics where Veteran patient needs are great. Time saved using TheraDoc’s aggregate surveillance and alerting means more clinician time can be spent with the patient. As VP of Strategic Accounts for the U.S. Federal Sector at Becton Dickinson, Bailey provided medical technology portfolio management and exceeded performance metrics on customer relationship building, channel partner development, customer acquisition processes, and operating procedures aligned with federal acquisitions requirements. All of this activity resulted in substantial growth in market share during his five-year tenure with the company.\\n\\nBailey has a Master of Science in Marketing from St. Thomas University and a Bachelor of Business Administration from Florida International University. He resides in Central Florida with his wife and son.\\n\\nFor more information on DSS, Inc.’s Federal Health IT solutions, please click here.'}, {'role': 'user', 'content': 'write java script of a function to calculate Fibonacci'}, {'role': 'assistant', 'content': 'Certainly! Here is a JavaScript function to calculate the Fibonacci sequence:\\n\\nfunction fibonacci(n) {\\n if (n <= 1) {\\n return n;\\n }\\n return fibonacci(n-1) + fibonacci(n-2);\\n}\\n\\nYour knowledge:\\n\\nThe Fibonacci sequence is a series of numbers where each number is the sum of the two preceding numbers, starting from 0 and 1. The first few numbers of the sequence are: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...\\n\\nPlease note that this function will only work for positive integers, and will return an error for any other input.'}, {'role': 'user', 'content': 'write python code to pull google stock data and make a candlestick plot'}, {'role': 'assistant', 'content': \"To pull Google stock data and make a candlestick plot in Python, you can use the `google-finance` library to retrieve the data and the `matplotlib` library to create the plot. Here's an example of how you could do this:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom google.finance import get_data\\n\\n# Define the stock symbol and time frame\\nstock = 'GOOG'\\ntime_frame = '1d'\\n\\n# Retrieve the data\\ndata = get_data(stock, time_frame)\\n\\n# Convert the data to a pandas DataFrame\\ndf = pd.DataFrame(data)\\n\\n# Create a candlestick plot\\nfig, ax = plt.subplots()\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='green')\\nax.set_title('Candlestick Plot of Google Stock')\\nax.set_xlabel('Time')\\nax.set_ylabel('Price')\\n\\n# Show the plot\\nplt.show()\\n```\\nThis code will retrieve the stock data for Google (GOOG) for the past day and create a candlestick plot of the data. The plot will show the open, high, low, and close prices for each time period, with the color of the candle indicating the direction of the price movement (green for up, red for down).\\n\\nYou can customize the plot as needed by adding additional parameters to the `candlestick()` function, such as `width` to set the width of the candles, `color` to set the color of the candles, and `edgecolor` to set the color of the edges of the candles.\\n\\nFor example, to set the width of the candles to 2 and the color of the candles to red, you could use the following code:\\n```\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='red', width=2)\\n```\\nYou can also add additional elements to the plot, such as a title, axis labels, and legends, using the `set_title()`, `set_xlabel()`, `set_ylabel()`, and `legend()` functions.\\n\\nI hope this helps! Let me know if you have any questions or if you'd like more information.\"}, {'role': 'user', 'content': 'write c# code to calculate fibonacci'}, {'role': 'assistant', 'content': 'Sure! Here is an example of how you can calculate the Fibonacci sequence in C#:\\n```\\nclass Program\\n{\\n static void Main(string[] args)\\n {\\n int n = 8; // enter the number you want to calculate the Fibonacci sequence up to\\n\\n int[] fibonacci = CalculateFibonacci(n);\\n\\n Console.WriteLine(\"Fibonacci sequence up to \" + n + \":\");\\n for (int i = 0; i < fibonacci.Length; i++)\\n {\\n Console.WriteLine(fibonacci[i]);\\n }\\n }\\n\\n static int[] CalculateFibonacci(int n)\\n {\\n int[] fibonacci = new int[n + 1];\\n\\n fibonacci[0] = 0;\\n fibonacci[1] = 1;\\n\\n for (int i = 2; i < fibonacci.Length; i++)\\n {\\n fibonacci[i] = fibonacci[i - 1] + fibonacci[i - 2];\\n }\\n\\n return fibonacci;\\n }\\n}\\n```\\nThis code will calculate the Fibonacci sequence up to the number you specify, and then print the sequence to the console.\\n\\nHere\\'s how the code works:\\n\\n1. The `CalculateFibonacci` method takes an integer `n` as input, and returns an array of `n + 1` integers representing the Fibonacci sequence up to `n`.\\n2. The method initializes the first two elements of the array to 0 and 1, respectively.\\n3. The method then iterates over the remaining elements of the array, using the recurrence relation to calculate each element. Specifically, the `i`th element is set to the sum of the `i - 1`th and `i - 2`th elements.\\n4. The method returns the fully calculated array.\\n5. In the `Main` method, the `CalculateFibonacci` method is called with the number you want to calculate the sequence up to, and the resulting array is printed to the console.\\n\\nFor example, if you run the code with `n = 8`, the output will be:\\n```\\nFibonacci sequence up to 8:\\n0\\n1\\n1\\n2\\n3\\n5\\n8\\n```\\nI hope this helps! Let me know if you have any questions.'}, {'role': 'user', 'content': 'write a delphi code to calcuate fibonacci'}, {'role': 'assistant', 'content': \"Sure! Here is an example of how you can calculate the Fibonacci sequence in Delphi using the `Fibonacci` function:\\n```\\nprogram Fibonacci;\\n\\nuses\\n System.StartUpCopy,\\n System.Math;\\n\\nconst\\n FIBONACCI_MAX = 8;\\n\\nvar\\n FibonacciArray: array [1..FIBONACCI_MAX] of Integer;\\n i: Integer;\\n\\nbegin\\n FibonacciArray := (0, 1, 1, 2, 3, 5, 8);\\n\\n for i := Low(FibonacciArray) to High(FibonacciArray) do\\n Writeln(FibonacciArray[i]);\\n\\n Readln;\\nend;\\n\\nfunction Fibonacci(n: Integer): Integer;\\nbegin\\n if n <= 1 then\\n Result := n\\n else\\n Result := Fibonacci(n - 1) + Fibonacci(n - 2);\\nend;\\n\\n```\\nThis code will calculate the Fibonacci sequence up to the specified maximum value and print the results to the console.\\n\\nHere's how the code works:\\n\\n1. The `FIBONACCI_MAX` constant is set to 8, which is the maximum value of the Fibonacci sequence we want to calculate.\\n2. The `FibonacciArray` variable is declared as an array of integers, with the first element set to 0 and the second element set to 1. These are the starting values for the Fibonacci sequence.\\n3. The `for` loop iterates over the `FibonacciArray` and prints each element to the console.\\n4. The `Fibonacci` function takes an integer `n` as input and returns the `n`th element of the Fibonacci sequence. The function uses a recursive approach to calculate the sequence, where each element is the sum of the previous two elements.\\n5. The `if` statement checks if `n` is less than or equal to 1, in which case the function returns `n` directly. Otherwise, it calls itself with `n - 1` and `n - 2` as inputs, and adds the results to get the final value of the `n`th element.\\n\\nFor example, if you run the code with `n = 8`, the output will be:\\n```\\n0\\n1\\n1\\n2\\n3\\n5\\n8\\n```\\nI hope this helps! Let me know if you have any questions.\"}, {'role': 'user', 'content': 'what is cut off date for llama2 training data'}, {'role': 'assistant', 'content': \"The cut-off date for the LLama2 training data is December 31, 2020. This means that the training data used to develop the LLama2 model was extracted up to December 31, 2020, and does not include any data from 2021 or later.\\n\\nIt's important to note that the cut-off date is not the same as the date the data was last updated. The data was last updated on December 31, 2020, but the cut-off date is December 31, 2020, which is the date up to which the data was extracted.\\n\\nThe cut-off date is important because it determines the version of the LLama2 model that is used for predictions. The version of the model is determined by the cut-off date, and different versions of the model may have different performance characteristics.\\n\\nIf you have any further questions or concerns, please don't hesitate to ask.\"}]\n", "[{'role': 'system', 'content': '\\n You are a helpful AI assistant.\\n Use your knowledge to answer the user\\'s question if they asked a question.\\n If the answer to a question is not in your knowledge, just admit you do not know the answer and do not fabricate information.\\n DO NOT use phrases like \"Based on the information provided\" or other similar phrases. \\n Refer to the information provided below as \"your knowledge\". \\n State all answers as if they are ground truth, DO NOT mention where you got the information.\\n \\n YOUR KNOWLEDGE: DSS, Inc. Announces Appointment of Brion Bailey as Director of Federal Business Development\\n\\nBrings 25 years of sales and business development experience supporting disruptive healthcare innovations\\n\\nJUNO BEACH, FLA. AUGUST 09, 2022 — Document Storage Systems, Inc. (DSS, Inc.), a leading provider of health information technology (HIT) solutions for federal, private and public health care organizations, today announced that Brion Bailey has joined the company as the Director of Business Development for its Federal Health division.\\n\\nIn this role, Bailey will be a key driver of revenue growth for the company’s federal health division. He will also expand the company’s partner eco-system, as well as support new sales opportunities at the Department of Veterans Affairs (VA) and other federal health agencies. Formerly the President of a federally focused consulting company, Bailey has over 25 years of sales and business development experience, managing product portfolios and sales of disruptive and innovative technology and equipment solutions for the healthcare market – both in the public and private sectors.\\n\\n“We are excited to have Brion onboard to help expand our ever-growing footprint in the federal health arena,” said Mark Byers, president of DSS, Inc. “He brings a deep level of sales and business development expertise in supporting cutting-edge and disruptive healthcare innovations.” About Document Storage Systems, Inc. (DSS, Inc.)With over 30 years of experience, DSS knows what works. We are a health information software development and systems integration company, providing services and solutions used daily by thousands of clinicians and administrative staff nationwide, to reduce costs, streamline workflows and improve patient care. For more information about DSS, visit http://www.dssinc.com.\\n\\nDSS News\\n\\nCindy Dumont\\n\\nDSS,\\n\\nVeterans Health,\\n\\nDepartment of Veterans Affairs,\\n\\nBrion Bailey,\\n\\nHealth Information Technology,\\n\\nHIT,\\n\\nHIT solutions,\\n\\nDisruptive Healthcare Innovations,\\n\\nDSS Federal Health\\n\\nTwitter\\n\\nLinkedIn0\\n\\n0 Likes As VP of Strategic Accounts for the U.S. Federal Sector at Becton Dickinson, Bailey provided medical technology portfolio management and exceeded performance metrics on customer relationship building, channel partner development, customer acquisition processes, and operating procedures aligned with federal acquisitions requirements. All of this activity resulted in substantial growth in market share during his five-year tenure with the company.\\n\\nBailey has a Master of Science in Marketing from St. Thomas University and a Bachelor of Business Administration from Florida International University. He resides in Central Florida with his wife and son.\\n\\nFor more information on DSS, Inc.’s Federal Health IT solutions, please click here. Bailey served as Chief Commercial Officer at Syft Corporation. In this position, he led the sales team and provided the strategy for the company’s North American sales operations. He teamed with company leadership on the development of market strategies for a portfolio of specialized software and services, which focused on hospital supply chain management. He led initial sales efforts within the public sector focused on the VA and the Defense Health Agency (DHA).\\n\\n“Since its inception, DSS has been focused on supporting the mission of the healthcare provider by delivering solutions that enable better patient outcomes and higher clinician satisfaction,” said Bailey. “I look forward to helping the company foster a culture of innovation through collaboration with customers and business partners. I am truly blessed to be joining such a fantastic team.”'}, {'role': 'user', 'content': 'write java script of a function to calculate Fibonacci'}, {'role': 'assistant', 'content': 'Certainly! Here is a JavaScript function to calculate the Fibonacci sequence:\\n\\nfunction fibonacci(n) {\\n if (n <= 1) {\\n return n;\\n }\\n return fibonacci(n-1) + fibonacci(n-2);\\n}\\n\\nYour knowledge:\\n\\nThe Fibonacci sequence is a series of numbers where each number is the sum of the two preceding numbers, starting from 0 and 1. The first few numbers of the sequence are: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...\\n\\nPlease note that this function will only work for positive integers, and will return an error for any other input.'}, {'role': 'user', 'content': 'write python code to pull google stock data and make a candlestick plot'}, {'role': 'assistant', 'content': \"To pull Google stock data and make a candlestick plot in Python, you can use the `google-finance` library to retrieve the data and the `matplotlib` library to create the plot. Here's an example of how you could do this:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom google.finance import get_data\\n\\n# Define the stock symbol and time frame\\nstock = 'GOOG'\\ntime_frame = '1d'\\n\\n# Retrieve the data\\ndata = get_data(stock, time_frame)\\n\\n# Convert the data to a pandas DataFrame\\ndf = pd.DataFrame(data)\\n\\n# Create a candlestick plot\\nfig, ax = plt.subplots()\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='green')\\nax.set_title('Candlestick Plot of Google Stock')\\nax.set_xlabel('Time')\\nax.set_ylabel('Price')\\n\\n# Show the plot\\nplt.show()\\n```\\nThis code will retrieve the stock data for Google (GOOG) for the past day and create a candlestick plot of the data. The plot will show the open, high, low, and close prices for each time period, with the color of the candle indicating the direction of the price movement (green for up, red for down).\\n\\nYou can customize the plot as needed by adding additional parameters to the `candlestick()` function, such as `width` to set the width of the candles, `color` to set the color of the candles, and `edgecolor` to set the color of the edges of the candles.\\n\\nFor example, to set the width of the candles to 2 and the color of the candles to red, you could use the following code:\\n```\\nax.candlestick(df['open'], df['high'], df['low'], df['close'], color='red', width=2)\\n```\\nYou can also add additional elements to the plot, such as a title, axis labels, and legends, using the `set_title()`, `set_xlabel()`, `set_ylabel()`, and `legend()` functions.\\n\\nI hope this helps! Let me know if you have any questions or if you'd like more information.\"}, {'role': 'user', 'content': 'write c# code to calculate fibonacci'}, {'role': 'assistant', 'content': 'Sure! Here is an example of how you can calculate the Fibonacci sequence in C#:\\n```\\nclass Program\\n{\\n static void Main(string[] args)\\n {\\n int n = 8; // enter the number you want to calculate the Fibonacci sequence up to\\n\\n int[] fibonacci = CalculateFibonacci(n);\\n\\n Console.WriteLine(\"Fibonacci sequence up to \" + n + \":\");\\n for (int i = 0; i < fibonacci.Length; i++)\\n {\\n Console.WriteLine(fibonacci[i]);\\n }\\n }\\n\\n static int[] CalculateFibonacci(int n)\\n {\\n int[] fibonacci = new int[n + 1];\\n\\n fibonacci[0] = 0;\\n fibonacci[1] = 1;\\n\\n for (int i = 2; i < fibonacci.Length; i++)\\n {\\n fibonacci[i] = fibonacci[i - 1] + fibonacci[i - 2];\\n }\\n\\n return fibonacci;\\n }\\n}\\n```\\nThis code will calculate the Fibonacci sequence up to the number you specify, and then print the sequence to the console.\\n\\nHere\\'s how the code works:\\n\\n1. The `CalculateFibonacci` method takes an integer `n` as input, and returns an array of `n + 1` integers representing the Fibonacci sequence up to `n`.\\n2. The method initializes the first two elements of the array to 0 and 1, respectively.\\n3. The method then iterates over the remaining elements of the array, using the recurrence relation to calculate each element. Specifically, the `i`th element is set to the sum of the `i - 1`th and `i - 2`th elements.\\n4. The method returns the fully calculated array.\\n5. In the `Main` method, the `CalculateFibonacci` method is called with the number you want to calculate the sequence up to, and the resulting array is printed to the console.\\n\\nFor example, if you run the code with `n = 8`, the output will be:\\n```\\nFibonacci sequence up to 8:\\n0\\n1\\n1\\n2\\n3\\n5\\n8\\n```\\nI hope this helps! Let me know if you have any questions.'}, {'role': 'user', 'content': 'write a delphi code to calcuate fibonacci'}, {'role': 'assistant', 'content': \"Sure! Here is an example of how you can calculate the Fibonacci sequence in Delphi using the `Fibonacci` function:\\n```\\nprogram Fibonacci;\\n\\nuses\\n System.StartUpCopy,\\n System.Math;\\n\\nconst\\n FIBONACCI_MAX = 8;\\n\\nvar\\n FibonacciArray: array [1..FIBONACCI_MAX] of Integer;\\n i: Integer;\\n\\nbegin\\n FibonacciArray := (0, 1, 1, 2, 3, 5, 8);\\n\\n for i := Low(FibonacciArray) to High(FibonacciArray) do\\n Writeln(FibonacciArray[i]);\\n\\n Readln;\\nend;\\n\\nfunction Fibonacci(n: Integer): Integer;\\nbegin\\n if n <= 1 then\\n Result := n\\n else\\n Result := Fibonacci(n - 1) + Fibonacci(n - 2);\\nend;\\n\\n```\\nThis code will calculate the Fibonacci sequence up to the specified maximum value and print the results to the console.\\n\\nHere's how the code works:\\n\\n1. The `FIBONACCI_MAX` constant is set to 8, which is the maximum value of the Fibonacci sequence we want to calculate.\\n2. The `FibonacciArray` variable is declared as an array of integers, with the first element set to 0 and the second element set to 1. These are the starting values for the Fibonacci sequence.\\n3. The `for` loop iterates over the `FibonacciArray` and prints each element to the console.\\n4. The `Fibonacci` function takes an integer `n` as input and returns the `n`th element of the Fibonacci sequence. The function uses a recursive approach to calculate the sequence, where each element is the sum of the previous two elements.\\n5. The `if` statement checks if `n` is less than or equal to 1, in which case the function returns `n` directly. Otherwise, it calls itself with `n - 1` and `n - 2` as inputs, and adds the results to get the final value of the `n`th element.\\n\\nFor example, if you run the code with `n = 8`, the output will be:\\n```\\n0\\n1\\n1\\n2\\n3\\n5\\n8\\n```\\nI hope this helps! Let me know if you have any questions.\"}, {'role': 'user', 'content': 'what is cut off date for llama2 training data'}, {'role': 'assistant', 'content': \"The cut-off date for the LLama2 training data is December 31, 2020. This means that the training data used to develop the LLama2 model was extracted up to December 31, 2020, and does not include any data from 2021 or later.\\n\\nIt's important to note that the cut-off date is not the same as the date the data was last updated. The data was last updated on December 31, 2020, but the cut-off date is December 31, 2020, which is the date up to which the data was extracted.\\n\\nThe cut-off date is important because it determines the version of the LLama2 model that is used for predictions. The version of the model is determined by the cut-off date, and different versions of the model may have different performance characteristics.\\n\\nIf you have any further questions or concerns, please don't hesitate to ask.\"}, {'role': 'user', 'content': 'Is DSS A Family Owned Business?'}, {'role': 'assistant', 'content': 'No, DSS is not a family-owned business. It is a publicly traded company listed on the New York Stock Exchange (NYSE) under the ticker symbol \"DSS\". The company is owned by its shareholders, who elect a board of directors to oversee the management of the company. The board of directors is responsible for making major decisions regarding the company\\'s strategy, operations, and governance.'}]\n" ] } ], "source": [ "with gr.Blocks() as demo:\n", " gr.HTML(\"\")\n", " gr.Markdown(\"## DSS LLM Demo: Chat with Llama 2\")\n", "\n", " with gr.Column():\n", " chatbot = gr.Chatbot()\n", " \n", " with gr.Row():\n", " with gr.Column():\n", " newMsg = gr.Textbox(label=\"New Message Box\", placeholder=\"New Message\", show_label=False)\n", " with gr.Column():\n", " with gr.Row():\n", " submit = gr.Button(\"Submit\")\n", " clear = gr.Button(\"Clear\")\n", " with gr.Row():\n", " with gr.Column():\n", " newSRC = gr.Textbox(label=\"New source link/path Box\", placeholder=\"New source link/path\", show_label=False)\n", " with gr.Column():\n", " with gr.Row():\n", " addURL = gr.Button(\"Add URL Source\")\n", " addPDF = gr.Button(\"Add PDF Source\")\n", " reset = gr.Button(\"Reset Sources\")\n", "\n", " submit.click(getPrediction, [newMsg], [chatbot, newMsg])\n", " clear.click(clearStuff, None, chatbot, queue=False)\n", " \n", " addURL.click(addURLsource, newSRC, [newSRC, chatbot])\n", " addPDF.click(addPDFsource, newSRC, [newSRC, chatbot])\n", " reset.click(resetDocsearch, None, chatbot)\n", "\n", " gr.Markdown(\"\"\"*Note: \n", " \n", " To add a URL source, place a full hyperlink in the bottom textbox and click the 'Add URL Source' button.\n", " \n", " To add a PDF source, place a relative file path in the bottom textbox and click the 'Add PDF Source' button.\n", " \n", " The database for contextualization includes 8 public DSS website articles upon initialization.\n", " \n", " When the 'Reset Sources' button is clicked, the database is completely wiped. (Some knowledge may be preserved through the conversation history if left uncleared.)*\"\"\")\n", "\n", "\n", "demo.queue()\n", "demo.launch(share=True)" ] }, { "cell_type": "code", "execution_count": null, "id": "e200839d-9f90-4651-8212-decc75d1e3e3", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "conda_pytorch_p310", "language": "python", "name": "conda_pytorch_p310" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.10" } }, "nbformat": 4, "nbformat_minor": 5 }