bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation Of Drill Bit Selection On Basement Layer Exploration Drilling In AFM Block
Authors: Maulana Afi , Buntoro Aris , Kristanto Dedy
Published: May 2023

In one of the exploration drilling of the AF-01 well, there was a drilling problem on the 8 in hole when it penetrated the basement layer. ROP at the time of drilling the basement layer is far below the estimated ROP.By setting MSE as, ROP is increased so that cost savings are obtained from reducing rig time. A qualitative analysis of drillbit selection was carried out based on the type and design of the drillbit as well as the characteristics of the basement rock to be penetrated.In addition to the qualitative and quantitative assessment was carried out through the calculation of the PDC Design Index, MSE, DSE and CPF on each drill bit.ROP of Hybrid PDC-1 increased 500% when compared to PDC-1. The MSE and DSE produced by the Hybrid PDC-1 are 750% smaller than the PDC-1. Using the Hybrid PDC-1, drilling costs can be reduced up to USD 2,105,481.The low ROP at the time of drilling the basement layer in well AF-01 was due to the incompatibility of the PDC-1 bit used for the type of rock being penetrated. Hybrid PDC-1 is the most optimum bit to penetrate the basement layer in the AFM Block.
ACIDIZING EVALUATION OF CARBONATE ROCK IN BDA-F WELL, JATIBARANG FIELD
Authors: Widyanata Andri
Published: May 2023

Acidizing is a dissolving activity, whether it is dissolving rock formations or other materials (natural or foreign) in reservoir of the rock. To maintain production in the Jatibarang field, especially in Bangodua (BDA) structure, there are 1 well that have experienced a short decline in production since drilling. The reservoir properties of that well is not good and there is impurity material (damage). Thus, requiring stimulation in the form of matrix acidizing. Evaluation of the matrix acid work in this well, is required for the same activities in other wells.To restore productivity this well, data were collected starting from production data, reservoir data, and well composition data. Then, candidate analysis and matrix acidizing job design are carried out. The design stage will be brought to the execution of matrix acidizing in the field. Then an evaluation was carried out after the presence of matrix acidizing in this wellThis well carried out matrix acidizing activities, produced oil production gains. BDA-F well produced with artificial lift of Electrical submersible pump – ESP in C1 layer (1128 – 1130.5 mMD), experienced an increase in test production from 749 BLPD to 1865 BLPD with a decrease in skin factor from +32 to -1.
RANCANG BANGUN ANTENA MONOPOLE MIKROSTRIP MENGGUNAKAN DEFECTED GROUND STRUCTURE BENTUK PERSEGI UNTUK OPTIMASI BANDWIDTH PADA APLIKASI KOMUNIKASI ULTRA-WIDEBAND
Authors: Darsono M , Kafriyanti Kafriyanti
Published: May 2023

The development of UWB technology is very helpful in supporting high-speed data access. UWB offers a solution for large capacity for wide bandwidth. The frequency range for UWB systems between 3.1–10.6GHz will cause interference to wireless communication systems via wireless local area networks (WLANs) for IEEE 802.11a operating at 5.15–5.35GHz and 5.725–5.825GHz. This research aims to obtain a design of a rectangular printed monopole patch microstrip antenna and a slit using the Defected Ground Structure (DGS) technique to obtain bandwidth optimization on the UWB spectrum. For the implementation of the antenna design, the simulation method is used with the support of the RT/ Duroid substrate material. Realization of the design with the results of a manufactured antenna prototype with a minimalist size. The simulation and measurement results of the Absolute UWB bandwidth parameter at return loss < -10 dB (VSWR <2) the measurement value is 600MHz narrower than the simulation and for fractional bandwidth the measurement value is narrower by 0.21%. Resonance at the 5.2GHz frequency produces polarization with a gain value of 3.29dBi, omnidirectional and vertical polarization. As a prototype antenna to support the application of indoor wireless access communication devices that are low profile, compact with minimalist dimensions.
IMPLEMENTASI METODE SPIRAL PADA PENGEMBANGAN APLIKASI SIMPAN PINJAM BERBASIS ANDROID
Authors: Alda Muhamad
Published: May 2023

Currently, it is hoped that information technology will provide many conveniences for consumers. Because of its ease of use, information technology makes it easier to process data that was previously done manually to become systematic. A newer feature is the use of applications that have been systemized in Android on smartphones. Mitra Karya Cooperative is one of the cooperatives that performs data processing using the Microsoft Excel application, so there are still problems that occur regarding the completeness and security as well as the data distribution process. Building an Android application to process customer data, savings data, and online lending data at the Mitra Karya Cooperative is the goal of this research. The spiral system development methodology, which includes phases of customer communication, planning, risk analysis, engineering, construction, and disposal as well as customer evaluation, is used in this study. While the model used by the author to visually design the application uses the UML (Unified Modeling Language) model. The Kodular framework and Airtable database are used in the development of Android-based applications. The outcome of the research is an android-based application that can be used to assist Mitra Karya Cooperative in resolving issues related to the cooperative data processing process, which consists of processing customer data, processing deposit data, and processing customer loan data online using an Android device.
Considerations regarding the Transposition by Romania of Council Framework Decision 2008/947/JHA Of 27 November 2008
Authors: Chihaia Gabriela - Nicoleta
Published: May 2023

The application of the principle of mutual recognition in the case of court decisions in criminal matters represents one of the important aims of the European Union, not only in the matter of punishments or custodial measures but also of suspended sentences or alternative sanctions to detention and decisions on conditional release. This study aims to present the way in which Romania transposed Framework Decision No. 2008/947/JAI of the Council dated November 27th, 2008 in the national legislation, Law no. 302/2004 on international judicial cooperation in criminal matters, with regard to probation measures and alternative sanctions must be mandatorily supervised, during the execution phase of the sentence, even if it is executed in another (requested) state than the one of conviction (applicant), in order to increase the chances of social reintegration of the convicted person. The study will also analyze some of the solutions of the Romanian courts, the jurisprudence in the application of these provisions being in an early stage.
Admissibility of the Tortious Liability Action regarding the Employment Relationship
Authors: Manea Laura
Published: May 2023

Tort liability is one of the important legal institutions in civil law seeking compensation for damage, and in certain circumstances, we also find it in employment relationships as a form distinct from patrimonial liability, the objective of which is also compensation for damage. Given the onerous nature of the employment relationship, in the cases that we will analyze about the admissibility of tort liability, we start from the same rights and obligations of the parties in the sense that the damage caused by the employee or the employer is due a failure in fulfilling the obligations in the employment relationship. Although the patrimonial liability as regulated by Art. 254 of the Labor Code is a special responsibility of the employment relationship, the text of the law does not qualify this type of liability as exclusive in the case of the employment relationship, which is why the caselaws identify situations where tort liability is also generated in the context of such employment relationships.
Special Guardianship – Protection Measure for Adults - in National and French Regulations
Authors: Matefi R. , Nicolae I.
Published: May 2023

This article proposes an analysis of the special guardianship, a measure of protection of the major, recently introduced in the Civil Code, following the changes made under Law no. 140/2022 regarding some protection measures for persons with intellectual and psychosocial disabilities and the modification and completion of some normative acts. The analysis concerns the internal regulations in the matter, by comparison with the regulation of this institution in the French legislation.
The Right of First Offer in European Law
Authors: Savu Vlad Ionut
Published: May 2023

The present study aims to offer an integrated vision on the origin, legal nature and the effects which occur in the field of specific relations of civil law, from the perspective of comparative law by valorizing the specific research methods which define the institution of the right of first offer. Theoretical approaches with practical implications of continental law and Anglo-Saxon law were considered.
EU as Proponent of Sustainable Development: Convergences and Divergences in Times of Crisis
Authors: Mackova Darina
Published: May 2023

Adherence to sustainable development as overarching principle of the EU policies and actions has been considered one of the main strengths of the European integration model. But the times of financial, social, health and security crisis have brought divergences from the original ambitions. It is argued that to overcome the polycrisis while maintaining legitimacy, the Union must realize its commitments enshrined in the EU Treaties and the Charter of Fundamental Rights by providing materially dignified, socially just and environmentally sensible life for all. Effective corporate sustainability due diligence can be a contributing factor to this end. The analyzed proposal for a directive, however, displays several conceptual and systemic weaknesses that may undermine the declared intentions.
Attempts and Obstacles to Re-New EU in Time of Crisis
Authors: Romito Angela Maria
Published: May 2023

The article aims to illustrate the attempts and the obstacles to reform the EU. Starting with an analysis of the increasing urge of renewing the EU legal structure, this article will highlight the rising interest within the European institutions to involve the citizens and the civil society in the process of renew through a new original tool; in a second step, it will briefly present the architecture of the CoFoE and its hybrid format which combines institutional negotiations and citizen participation. Hence it will focus on obstacles to the reforms proposed by the Conference. In the end, the article draws some critical conclusions regarding the future outcomes.
PENINGKATAN HASIL BELAJAR SISWA KELAS IV TEMA 6 CITA-CITAKU MELALUI PENERAPAN MODEL DEMONSTRATION DI SD 01 GULANG
Authors: Khusnah Nikmatul , Setiawan Deka , Santoso Santoso
Published: May 2023

This Classroom Action Research is motivated by the low learning outcomes of students in Indonesian and PPKn lessons. This research is in the form of classroom action research, by adapting the model of Classroom Action Research by Kemmis, and Mc. Taggart. This Classroom Action Research was conducted through two cycles. The stages in this classroom action research are (1) action planning, (2) action implementation, (3) observation, and (4) reflection. The research subjects in this Classroom Action Research, namely grade IV SD 01 Gulang, Mejobo District, Kudus Regency, with a total of 32 students, consisting of 12 male students, and 20 female students, and a fourth grade teacher. The assessment instrument used in this Classroom Action Research is an assessment for work learning outcomes. The results of this Classroom Action Research are the researchers using the demonstration method through the Puzzle media which will be used in the learning process. So the use of the demonstration method through puzzle media on the theme 6 My Goals can improve student learning outcomes in grade IV SD 01 Gulang Mejobo Kudus
DELIVERING ENGLISH CLASS THROUGH YOUTUBE TO THE FIRST SEMESTER STUDENTS OF ISLAMIC EDUCATION MANAGEMENT STUDY PROGRAM AT DATOKARAMA STATE ISLAMIC UNIVERSITY PALU
Authors: Afifah Afifah , Suleman Suleman
Published: May 2023

Social media platform has become one of the main attributes for teaching and learning. One of those digital platforms widely used is YouTube. YouTube functions not only as a social media for interacting with the world, but also as a teaching media for delivering material. This research is conducted to gain more information related to the use of YouTube in teaching and learning. The research question was, “How was the use of YouTube in delivering English class to the first semester students of Islamic Education Management Study Program at Datokarama State Islamic University Palu?” This is a case study in qualitative research. The instruments applied in this research were observation which was conducted as many as six meetings and an interview with eight questions to thirteen first semester students of Islamic Education Management Study Program at Datokarama State Islamic University Palu. The result of this research showed the point of view from the lecturers and the students related to the research question. The lecturers viewed YouTube as one of solutions for solving the problem of delivering distance learning. Explaining material of English via YouTube can be seriously challenging. The lecturers should perform well in front of the camera while delivering the material. From the students’ point of view, YouTube helped them understand the explanation of English material easily. They did not have to download videos and save them in the phone memory. They only needed to click the link and watch the videos in YouTube.
METODE PEMBELAJARAN SASTRA PADA MATA PELAJARAN BAHASA INDONESIA
Authors: Al-afandi Al-afandi
Published: May 2023

This paper aims to introduce the method of learning literature in Indonesian subjects. Literary material, especially poetry appreciation, is often a problem for teachers and students. To overcome this problem, one of the solutions offered by the author is in the form of a method that is considered to be able to solve problems in literary learning, especially in poetry appreciation. Some of the literary teaching methods applied include the lecture and question and answer method, discussion, audio-visual and content analysis. The implementation steps taken by teachers and students are (a) choosing poetry literary texts (b) choosing learning media, (c) analyzing poetry literary texts together. (d) form groups of students. (e) student work assignments. (f) the percentage of students in front of the class using the media. (g) discussion and question and answer
PENINGKATAN KEMAMPUAN BERPIDATO SISWA KELAS VIII MTS ALKHAIRAT PINOTU MENGGUNAKAN METODE MODELING
Authors: Idrus Idrus , Alaydrus Siti Hadija
Published: May 2023

This study aims to determine the improvement of students' speaking ability through learning with the modeling method. This research is a classroom action research. The research subjects were all class VIII students of MTs Alkhairaat Pinotu for the 2020/2021 academic year, totaling 20 people, namely 12 boys and 8 girls. The method used in this research is the descriptive method. The design of this study refers to the Kemmis and McTaggart model which consists of four components, namely 1) planning, 2) action implementation, 3) observation, and 4) reflection. The data collected in this study is in the form of teacher and student activity data during the learning process obtained by using observation sheets and student learning outcomes data obtained by giving individual tests to students. In the research that has been carried out, it was found that for the Grade VIII students of MTs Alkhairaat Pinotu, the score of the pre-action speech students was 45% and then increased from 71.2 in the first cycle to 78.2% in the second cycle. The increase in the second cycle was due to the researchers placing more emphasis on the concept of motivating students to be bolder in speaking out from the reflection of the first cycle in giving speeches using the modeling method. While in cycle II, the researcher emphasized changing the model in learning. Thus, the application of modeling media can improve the achievement of speaking skills (speech) of class VIII MTs Alkhairaat Pinotu students so that the application of modeling media is carried out by teachers to improve student learning outcomes
Circ_CHMP5 aggravates oxidized low-density lipoprotein-induced damage to human umbilical vein endothelial cells through miR-516b-5p/TGFβR2 axis
Authors: Wang Yueru , Liu Ping , Chen Xiaoyan , Yang Wuxiao
Published: May 2023

BACKGROUND: Atherosclerosis (AS) was one of the main causes of death in the elderly, and lesions in human umbilical vein endothelial cells (HUVECs) could lead to AS. CircRNA-charged multivesicular body protein 5 (circ_CHMP5) was reported to participate in the progression of AS. METHODS: Quantitative real-time polymerase chain reaction (qRT-PCR) was used to analyze the levels of circ_CHMP5, miR-516b-5p, and transforming growth factor beta receptor 2 (TGFβR2) in AS patients or ox-LDL-induced HUVECs. 5-Ethynyl-2’-deoxyuridine and cell counting kit-8 assays were performed to detect cell proliferation. Proteins expression was assessed by western blot assay. Cell apoptosis was examined by flow cytometry. Tube formation assay was utilized to measure the tube formation ability of HUVCEs. The targeting relationships between miR-516b-5p and circ_CHMP5 or TGFβR2 were confirmed by dual-luciferase reporter assay and RNA-pull down assay. RESULTS: Circ_CHMP5 was enhanced in the serum of AS patients and ox-LDL-exposure HUVECs. Ox-LDL blocked proliferation and tube formation of HUVECs and induced cell apoptosis, and circ_CHMP5 knockdown reversed these effects. In addition, circ_CHMP5 regulated the growth of ox-LDL-induced HUVECs through miR-516b-5p and TGFβR2. Moreover, the effects of circ_CHMP5 knockdown on ox-LDL-induced HUVECs were obviously recovered by downregulation of miR-516b-5p, and overexpression of TGFβR2 restored the effects of miR-516b-5p upregulation on ox-LDL-stimulated HUVECs. CONCLUSION: Silence of circ_CHMP5 overturned ox-LDL-treated inhibition of HUVECs proliferation and angiogenesis by miR-516b-5p and TGFβR2. These results provided new solutions for the treatment of AS.
Prediction of acute kidney injury using a combined model of inflammatory vascular endothelium biomarkers and ultrasound indices
Authors: Abdelwahed Omaima Mohammed , Aboulhoda Basma Emad , Awadallah Maryse Youssef , Gouda Sarah Ali Abdelhameed , Abdallah Hend , Rashed Laila , Khaled Mai , Ghobrial Emad E. , Alghabban Hadel M. , Sharawy Nivin
Published: May 2023

BACKGROUND: Acute kidney injury (AKI) is a common complication of sepsis, with the burden of long hospital admission. Early prediction of AKI is the most effective strategy for intervention and improvement of the outcomes. OBJECTIVE: In our study, we aimed to investigate the predictive performance of the combined model using ultrasound indices (grayscale and Doppler indieces), endothelium injury (E-selectin, VCAM-1, ICAM1, Angiopoietin 2, syndecan-1, and eNOS) as well as inflammatory biomarkers (TNF-a, and IL-1β) to identify AKI. METHODS: Sixty albino rats were divided into control and lipopolysaccharide (LPS) groups. Renal ultrasound, biochemical and immunohistological variables were recorded 6 hrs, 24 hrs, and 48 hrs after AKI. RESULTS: Endothelium injury and inflammatory markers were found to be significantly increased early after AKI, and correlated significantly with kidney size reduction and renal resistance indices elevation. CONCLUSIONS: Using area under the curve (AUC), the combined model was analyzed based on ultrasound and biochemical variables and provided the highest predictive value for renal injury.
Decision tree-based prediction approach for improving stable energy management in smart grids
Authors: Chen Sichao , Huang Liejiang , Pan Yuanjun , Hu Yuanchao , Shen Dilong , Dai Jiangang
Published: May 2023

Today, the Internet of Things (IoT) has an important role for deploying power and energy management in the smart grids as emerging trend for managing power stability and consumption. In the IoT, smart grids has important role for managing power communication systems with safe data transformation using artificial intelligent approaches such as Machine Learning (ML), evolutionary computation and meta-heuristic algorithms. One of important issues to manage renewable energy consumption is intelligent aggregation of information based on smart metering and detecting the user behaviors for power and electricity consumption in the IoT. To achieve optimal performance for detecting this information, a context-aware prediction system is needed that can apply a resource management effectively for the renewable energy consumption for smart grids in the IoT. Also, prediction results from machine learning methods can be useful to manage optimal solutions for power generation activities, power transformation, smart metering at home and load balancing in smart grid networks. This paper aims to design a new periodical detecting, managing, allocating and analyzing useful information regarding potential renewable power and energy consumptions using a context-aware prediction approach and optimization-based machine learning method to overcome the problem. In the proposed architecture, a decision tree algorithm is provided to predict the grouped information based on important and high-ranked existing features. For evaluating the proposed architecture, some other well-known machine learning methods are compared to the evaluation results. Consequently, after analyzing various components by solving different smart grids datasets, the proposed architecture’s capacity and supremacy are well determined among its traditional approaches.
Attribute reduction algorithm based on combined distance in clustering
Authors: Liang Baohua , Lu Zhengyu
Published: May 2023

Attribute reduction is a widely used technique in data preprocessing, aiming to remove redundant and irrelevant attributes. However, most attribute reduction models only consider the importance of attributes as an important basis for reduction, without considering the relationship between attributes and the impact on classification results. In order to overcome this shortcoming, this article firstly defines the distance between samples based on the number of combinations formed by comparing the samples in the same sub-division. Secondly, from the point of view of clustering, according to the principle that the distance between each point in the cluster should be as small as possible, and the sample distance between different clusters should be as large as possible, the combined distance is used to define the importance of attributes. Finally, according to the importance of attributes, a new attribute reduction mechanism is proposed. Furthermore, plenty of experiments are done to verify the performance of the proposed reduction algorithm. The results show that the data sets reduced by our algorithm has a prominent advantage in classification accuracy, which can effectively reduce the dimensionality of high-dimensional data, and at the same time provide new methods for the study of attribute reduction models.
Geodetic domination integrity in fuzzy graphs
Authors: Ganesan Balaraman , Raman Sundareswaran , Marayanagaraj Shanmugapriya , Broumi Said
Published: May 2023

Let N = (V, E) be a simple graph and let X be a subset of V (N). If every node not in X lies on a geodesic path between two nodes from X then it is called a geodetic set. The geodetic number g (N) is the minimum cardinality of such set X. The subset X is called a dominating set if every node not in X has at least one neighbour in X. The minimum number of nodes of a dominating set is known as domination number γ (N). If the subset X is a geodetic set as well as a dominating set then it is called a geodetic dominating set. The minimum cardinality of a geodetic dominating set is known as geodetic domination number γg (N). The geodetic domination integrity of N is defined to be DIg (N) = min {|X| + m (N - X) : X is a geodetic dominating set of N}, where m (N - X) denotes the order of the largest component of N - X. Uncertain networks can be modelled using fuzzy graphs. In a graph, each vertex and each edge are equally significant. However, in fuzzy graphs, each vertex and each edge is important in terms of fuzziness in their own right. In this study, the concepts of geodetic dominating sets in fuzzy graphs and geodetic domination number are defined and bounds are obtained. Moreover, the vulnerability parameter Geodetic domination integrity is introduced in fuzzy graphs. Further, the geodetic domination integrity for complete fuzzy graphs, complete bipartite fuzzy graphs, Cartesian product of two strong fuzzy graphs and bounds are also discussed. The applications of this parameter are applied to a telecommunication network system model to identify the key persons in the system and applied in a fuzzy social network to find the most influential group within the network.
Towards a Clinically Meaningful Model to Structure the Development of Interoperable Order Sets, Applicable to the Point of Care in Any EMR
Authors: Yasini Mobin , Rausch Dennis , Marin Lise , Hochheim Ingrid , Singh Dhillon Navinder , Dahlweid Michael
Published: May 2023

Standardized order sets are a pragmatic type of clinical decision support that can improve adherence to clinical guidelines with a list of recommended orders related to a specific clinical context. We developed a structure facilitating the creation of order sets and making them interoperable, to increase their usability. Various orders contained in electronic medical records in different hospitals were identified and included in different categories of orderable items. Clear definitions were provided for each category. A mapping to FHIR resources was performed to relate these clinically meaningful categories to FHIR standards to assure interoperability. We used this structure to implement the relevant user interface in the Clinical Knowledge Platform. The use of standard medical terminologies and the integration of clinical information models like FHIR resources are key factors for creating reusable decision support systems. The content authors should be provided with a clinically meaningful system to use in a non-ambiguous context.
Application of Process Mining for Modelling Small Cell Lung Cancer Prognosis
Authors: Marzano Luca , Meijer Sebastiaan , Dan Asaf , Tendler Salomon , De Petris Luigi , Lewensohn Rolf , Raghothama Jayanth , Darwich Adam S.
Published: May 2023

Process mining is a relatively new method that connects data science and process modelling. In the past years a series of applications with health care production data have been presented in process discovery, conformance check and system enhancement. In this paper we apply process mining on clinical oncological data with the purpose of studying survival outcomes and chemotherapy treatment decision in a real-world cohort of small cell lung cancer patients treated at Karolinska University Hospital (Stockholm, Sweden). The results highlighted the potential role of process mining in oncology to study prognosis and survival outcomes with longitudinal models directly extracted from clinical data derived from healthcare.
Health Synthetic Data to Enable Health Learning System and Innovation: A Scoping Review
Authors: Tsao Shu-Feng , Sharma Kam , Noor Hateem , Forster Alan , Chen Helen
Published: May 2023

With the recent advancement in the field of machine learning, health synthetic data has become a promising technique to address difficulties with time consumption when accessing and using electronic medical records for research and innovations. However, health synthetic data utility and governance have not been extensively studied. A scoping review was conducted to understand the status of evaluations and governance of health synthetic data following the PRISMA guidelines. The results showed that if synthetic health data are generated via proper methods, the risk of privacy leaks has been low and data quality is comparative to real data. However, the generation of health synthetic data has been generated on a case-by-case basis instead of being scaled up. Furthermore, regulations, ethics, and data sharing of health synthetic data have primarily been inexplicit, although common principles for sharing such data do exist.
Mapping Korean National Health Insurance Claim Codes for Laboratory Test to SNOMED CT
Authors: Sung Sumi , Park Hyeoun-Ae , Park Seul Ki , Jung Hyesil , Kang Hannah , Lee Min Sun
Published: May 2023

The aim of this study was to map Korean national health insurance claims codes for laboratory tests to SNOMED CT. The mapping source codes were 4,111 claims codes for laboratory test and mapping target codes were the International Edition of SNOMED CT released on July 31, 2020. We used rule-based automated and manual mapping methods. The mapping results were validated by two experts. Out of 4,111 codes, 90.5% were mapped to the concepts of procedure hierarchy in SNOMED CT. Of them, 51.4% of the codes were exactly mapped to SNOMED CT concepts, and 34.8% of the codes were mapped to SNOMED CT concepts as one-to-one mapping.
The Importance of Being FAIR and FAST – The Clinical Epidemiology and Study Platform of the German Network University Medicine (NUKLEUS)
Authors: Krefting Dagmar , Anton Gabi , Chaplinskaya-Sobol Irina , Hanss Sabine , Hoffmann Wolfgang , Hopff Sina M. , Kraus Monika , Lorbeer Roberto , Lorenz-Depiereux Bettina , Illig Thomas , Schäfer Christian , Schaller Jens , Stahl Dana , Valentin Heike , Heuschmann Peter , Vehreschild Janne
Published: May 2023

The COVID-19 pandemic has urged the need to set up, conduct and analyze high-quality epidemiological studies within a very short time-scale to provide timely evidence on influential factors on the pandemic, e.g. COVID-19 severity and disease course. The comprehensive research infrastructure developed to run the German National Pandemic Cohort Network within the Network University Medicine is now maintained within a generic clinical epidemiology and study platform NUKLEUS. It is operated and subsequently extended to allow efficient joint planning, execution and evaluation of clinical and clinical-epidemiological studies. We aim to provide high-quality biomedical data and biospecimens and make its results widely available to the scientific community by implementing findability, accessibility, interoperability and reusability – i.e. following the FAIR guiding principles. Thus, NUKLEUS might serve as role model for FAIR and fast implementation of clinical epidemiological studies within the setting of University Medical Centers and beyond.
Data Sharing Platform for MIMIC-IV and MIMIC-ED Data Marts: Designing a Data Retrieving System Based on the Intra-Hospital Patient Transfer Pathway
Authors: Rostam Niakan Kalhori Sharareh , Deserno Thomas M. , Soleiman Jamal , Kasiri Habibabadi Shayan
Published: May 2023

Accessibility to high-quality historical data for patients in hospitals may facilitate related predictive model development and data analysis experiments. This study provides a design for a data-sharing platform based on all possible criteria for Medical Information Mart for Intensive Care (MIMIC) IV and Emergency MIMIC-ED. Tables containing columns of medical attributions and outcomes were studied by a team of 5 experts in Medical Informatics. They completely agreed about the columns connection using subject-id, HDM-id, and stay-id as foreign keys. The tables of two marts were considered in the intra-hospital patient transfer path with various outcomes. Using the constraints, queries were generated and applied to the backend of the platform. The suggested user interface was drawn to retrieve records based on various entry criteria and present the output in the frame of a dashboard or a graph. This design is a step toward platform development that is useful for studies aimed at patient trajectory analysis, medical outcome prediction, or studies that require heterogeneous data entries.
The Need for a Non-Invasive Technology for Endometriosis Detection and Care
Authors: Hine Ariane , Bowles Juliana , Webber Thais
Published: May 2023

Endometriosis is a complex, poorly understood, female health condition that can markedly reduce a woman’s quality of life. The gold-standard diagnostic method for Endometriosis is invasive laparoscopic surgery, which is costly, not timely, and comes with risks to the patient. We argue that the need for a non-invasive diagnosis procedure, higher quality of patient care and reduced diagnosis delay, can be fulfilled by advances and research to devise innovative computational solutions. To leverage computational and algorithmic techniques, enhanced data recording and sharing are vital. We discuss the potential benefits of using personalised computational healthcare on both the clinician and patient side, reducing the lengthy average diagnosis time (currently around 8 years).
Implementation of HL7 FHIR-Based Interoperability Profiles to Manage Care Plans for Multimorbid Patients with Mild Dementia
Authors: Gencturk Mert , Akpinar A. Emre , Laleci Erturkmen Gokce B.
Published: May 2023

Management of multimorbidity in patients with mild dementia and mild cognitive impairment introduces additional challenges. The CAREPATH project provides an integrated care platform to assist both healthcare professionals and patients and their informal caregivers in the day-to-day management of care plans for this patient population. This paper introduces an HL7 FHIR-based interoperability approach for exchanging care plan action and goals with the patients and collecting feedback and adherence information from patients. In this way, seamless information exchange between healthcare professionals, patients and their informal care givers is achieved to support patients in their self-care management journey and increase their adherence to their care plans despite the burdens of mild dementia.
The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models
Authors: Williams Ross D. , den Otter Sicco , Reps Jenna M. , Rijnbeek Peter R.
Published: May 2023

The Deposit, Evaluate and Lookup Predictive Healthcare Information (DELPHI) library provides a centralised location for the depositing, exploring and analysing of patient-level prediction models that are compatible with data mapped to the observational medical outcomes partnership common data model.
Continuity of Patient Information to Palliative Care
Authors: Kuusisto Anne , Saranto Kaija , Korhonen Päivi , Haavisto Elina
Published: May 2023

The purpose of this study was to describe the sharing of knowledge and information to palliative care in terms of information content, information structure and information quality by means of Advance Care Planning (ACP). This study used a descriptive qualitative study design. Purposively selected nurses, physicians and social workers working in palliative care in Finland took part in thematic interviews in five hospitals in three hospital districts in 2019. The data (n = 33) were analyzed by means of content analysis. The results demonstrate the evidence-based practices of ACP in terms of information content, structure and quality. The results of this study can be utilized in the development of sharing knowledge and information and as the basis in the development of an ACP instrument.
Improving Healthcare Quality with an LHS
Authors: Santos Ricardo L. , Cruz-Correia Ricardo
Published: May 2023

The Learning Health System (LHS) is an important tool to help healthcare professionals solve problems by collecting, analyzing, interpreting and comparing health data, with the objective of helping patients make the best decision based on their own data, given the best evidence available. [1]. We believe partial oxygen saturation of arterial blood (SpO2) and related measurements and calculations can also be candidates for predictions and analysis of health conditions. We intend to build a Personal Health Record (PHR) that can exchange data with Electronic Health Records (EHRs) from hospitals, propose enhanced self-care, seek a support network, or look for healthcare assistance, (primary care or emergency service).
Classification of Healthcare Professionals
Authors: Maag Annina , Ranegger Renate , Baumberger Dieter
Published: May 2023

To be able to compare job titles in healthcare, a proposal for a classification of healthcare professionals was developed. The proposed LEP classification for healthcare professionals is suitable for Switzerland, Germany and Austria and includes nurses, midwives, social workers and other professionals.
How to Represent the Patient Voice in the Electronic Health Record?
Authors: Silsand Line , Severinsen Gro Hilde , Berntsen Gro R. , Steinsbekk Aslak
Published: May 2023

There is an agreement among patients, professionals, as well as leaders, and governance that person-centered care (PCC) is central to care quality. PCC care is a sharing of power to ensure that the answer to: “What matters to you?” drives care decisions. Thus, the patient voice needs to be represented in the EHR to support both patients and professionals in the shared decision-making process and enable PCC. The aim of this paper is therefore to investigate how to represent the patient voice in an EHR. This was a qualitative study of a co-design process with six patient-partners and a team of healthcare personnel. The result of the process was a template for the information needed to represent the patients’ voice in the EHR based on three questions: “What is important for you right now?”. “What matters to you in your life?”. “What do you want your care team to know about your history?”.
Challenges with Medication Management and the National Medication List in Sweden: An Interview Study from a Human, Organizational, and Technology Perspective
Authors: Hammar Tora , Hoffmann Mikael , Nilsson Lina
Published: May 2023

Sweden is in the process of implementing the National Medication List (NLL). The aim of this study was to explore the challenges with the medication management process, as well as expectation for NLL, from a human, organizational, and technology perspective. This study included interviews with prescribers, nurses, pharmacists, patients, and their relatives and was conducted during March to June 2020, before the implementation of NLL. Challenges were (1) feeling lost with several different medication lists, (2) spending time searching for information, (3) being frustrated at parallel information systems, (4) patients being the carriers of information, and (5) the feeling of being responsible in an indistinct process. The expectations for NLL in Sweden were high, but there were several fears.
Towards a National Portal for Medical Research Data (FDPG): Vision, Status, and Lessons Learned
Authors: Prokosch Hans-Ulrich , Gebhardt Marie , Gruendner Julian , Kleinert Philip , Buckow Karoline , Rosenau Lorenz , Semler Sebastian C.
Published: May 2023

Harmonizing medical data sharing frameworks is challenging. Data collection and formats follow local solutions in individual hospitals; thus, interoperability is not guaranteed. The German Medical Informatics Initiative (MII) aims to provide a Germany-wide, federated, large-scale data sharing network. In the last five years, numerous efforts have been successfully completed to implement the regulatory framework and software components for securely interacting with decentralized and centralized data sharing processes. 31 German university hospitals have today established local data integration centers that are connected to the central German Portal for Medical Research Data (FDPG). Here, we present milestones and associated major achievements of various MII working groups and subprojects which led to the current status. Further, we describe major obstacles and the lessons learned during its routine application in the last six months.
Enhancing Data Protection via Auditable Informational Separation of Powers Between Workflow Engine Based Agents: Conceptualization, Implementation, and First Cross-Institutional Experiences
Authors: Erdfelder Felix , Begerau Henning , Meyers David , Quast Klaus-Jürgen , Schumacher Daniel , Brieden Tobias , Ihle Roland , Ammon Danny , Kruse Henner M. , Zenker Sven
Published: May 2023

German best practice standards for secondary use of patient data require pseudonymization and informational separation of powers assuring that identifying data (IDAT), pseudonyms (PSN), and medical data (MDAT) are never simultaneously knowable by any party involved in data provisioning and use. We describe a solution meeting these requirements based on the dynamic interaction of three software agents: the clinical domain agent (CDA), which processes IDAT and MDAT, the trusted third party agent (TTA), which processes IDAT and PSN, and the research domain agent (RDA), which processes PSN and MDAT and delivers pseudonymized datasets. CDA and RDA implement a distributed workflow by employing an off-the-shelf workflow engine. TTA wraps the gPAS framework for pseudonym generation and persistence. All agent interactions are implemented via secured REST-APIs. Rollout to three university hospitals was seamless. The workflow engine allowed meeting various overarching requirements, including auditability of data transfer and pseudonymization, with minimal additional implementation effort. Using a distributed agent architecture based on workflow engine technology thus proved to be an efficient way to meet technical and organizational requirements for provisioning patient data for research purposes in a data protection compliant way.
Data Quality Assessment for Observational Medical Outcomes Partnership Common Data Model of Multi-Center
Authors: Oh Seol Whan , Ko Soo Jeong , Im Yun Seon , Jung Surin , Choi Bo Yeon , Kim Jae Yoon , Choi Wona , Choi In Young
Published: May 2023

The amount of research on the gathering and handling of healthcare data keeps growing. To support multi-center research, numerous institutions have sought to create a common data model (CDM). However, data quality issues continue to be a major obstacle in the development of CDM. To address these limitations, a data quality assessment system was created based on the representative data model OMOP CDM v5.3.1. Additionally, 2,433 advanced evaluation rules were created and incorporated into the system by mapping the rules of existing OMOP CDM quality assessment systems. The data quality of six hospitals was verified using the developed system and an overall error rate of 0.197% was confirmed. Finally, we proposed a plan for high-quality data generation and the evaluation of multi-center CDM quality.
Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data
Authors: van der Meijden Siri Lise , van Boekel Anna , Schinkelshoek Laurens , van Goor Harry , de Boer Mark , Steyerberg Ewout , Geerts Bart , Arbous Sesmu
Published: May 2023

Identification of postoperative infections based on retrospective patient data is currently done using manual chart review. We used a validated, automated labelling method based on registrations and treatments to develop a high-quality prediction model (AUC 0.81) for postoperative infections.
Learning from Health Professionals: A User-Centred Approach to Design a Wound Monitoring Platform
Authors: Félix Beatriz , Melo Ricardo , Marques Raquel , Alves Paulo , Salgado Pedro Faria
Published: May 2023

Health professionals are able to improve the care quality of chronic wounds by monitoring and reporting the wound status. Resorting to visual representations of wound status enhances comprehension by facilitating knowledge transfer to all stakeholders. However, selecting appropriate healthcare data visualisations is a critical challenge and healthcare platforms must be designed to meet their users’ needs and constraints. This article describes the methods used to identify the design requirements and inform the development of a wound monitoring platform through a user-centred approach.
Deep Learning Method for Estimation of Morphological Parameters Based on CT Scans
Authors: Ganesan Rajarajeswari , La Mattina Antonino A. , van de Vosse Frans N. , Huberts Wouter
Published: May 2023

In this study, we propose a Convolutional Neural Network (CNN) with an assembly of non-linear fully connected layers for estimating body height and weight using a limited amount of data. This method can predict the parameters within acceptable clinical limits for most of the cases even when trained with limited data.
Towards the Definition of an Intelligent System for Organizing Medical Visits and Collecting Medical Data
Authors: Logaras Evangelos , Billis Antonis , Stamkopoulos Evangelos , Lagakis Paraskevas , Dimitriadis Ilias , Vakali Athena , Bamidis Panagiotis D.
Published: May 2023

Appointment Scheduling (AS), typically serves as the basis for the majority of non-urgent healthcare services and is a fundamental healthcare-related procedure which, if done correctly and effectively, can lead to significant benefits for the healthcare facility. The main objective of this work is to present ClinApp, an intelligent system able to schedule and manage medical appointments and collect medical data directly from patients.
Validation Rules as a First Step for Data Quality: Pharmacovigilance Application in Portugal
Authors: Costa Bárbara , Figueiredo Bruno , Pinheiro Vera
Published: May 2023

Tracking and reporting Adverse Drug Reactions (ADRs) is crucial for patient safety. This work aims to improve the data quality of the SIRAI application in Portugal by developing data validation rules and a scoring system for each record and the overall dataset. The goal is to enhance the effectiveness of the SIRAI application in monitoring adverse drug reactions.
Barriers, Priorities and Lessons Learned in Achieving Electronic Health Records Interoperability in Low- and Middle-Income Countries: Workshop Findings
Authors: Adedeji Taiwo , Nakkas Haythem , Fraser Hamish , Scott Philip
Published: May 2023

Electronic health records (EHR) interoperability is a complex topic that continues to gain traction in the digital health landscape. We facilitated a qualitative workshop consisting of domain experts in EHR implementation and health IT managers. The workshop aimed to identify critical barriers to achieving interoperability, priorities for new EHR implementations and lessons learned from managing existing implementations. The workshop highlighted that data modelling and interoperability standards are vital priorities for maternal and child health data services in low- and middle-income countries (LMICs).
What Do Autistic People Discuss on Twitter? An Approach Using BERTopic Modelling
Authors: Gabarron Elia , Dorronzoro Enrique , Reichenpfader Daniel , Denecke Kerstin
Published: May 2023

Social media provide easy ways to autistic individuals to communicate and to make their voices heard. The objective of this paper is to identify the main themes that are being discussed by autistic people on Twitter. We collected a sample of tweets containing the hashtag #ActuallyAutistic during the period 10/02/2022 and 14/09/2022. To identify the most discussed topics, BERTopic modelling was applied. We manually grouped the detected topics into 6 major themes using inductive content analysis: 1) General aspects of autism and experiences of autistic individuals; 2) Autism awareness, pride and funding; 3) Interventions, mostly related to Applied Behavior Analysis; 4) Reactions and expressions; 5) Everyday life as an autistic (lifelong condition, work, housing…); and 6) Symbols and characteristics. The majority of tweets were presenting general aspects and experiences as autistic individuals; raising awareness; and about their dissatisfaction with some interventions. The identification of autistic individuals’ main discussion themes could help to develop meaningful public health agendas and research involving and addressed to autistic individuals.