Lenovo, NVIDIA and Chooch offer AI Vision
Solutions for Remote Patient Monitoring
Empowering Health Through AI Vision: Transforming Remote Patient
Monitoring

Summary
Hospitals are adopting computer vision technology for remote patient monitoring due to growing
patient safety concerns, particularly regarding patient falls. Traditional methods, like in-person
regular checks, may not detect immediate alerts or other precursor behavior.
Patient falls incur significant annual costs for healthcare facilities, including direct and indirect expenses. These falls prolong hospital stays, disrupt patient flow, and expose hospitals to litigationand higher insurance premiums, leading to revenue loss.

Challenge
The modern hospital faces a high demand for top quality patient care, has high costs and requires
to keep their information secure. There is also a limited workforce and nurses are vital for patient
safety, but heavy workloads limit constant supervision.
Human observation has limitations due to fatigue, distractions, and overload. Hospital environments, especially poorly visible, poorly lit, or crowded areas, make patient safety monitoring
challenging.
Additionally, the high demand of healthcare services places importance on fast diagnosis andmonitoring. Hospitals need to implement new solutions to keep track of patient needs and thefacilities need to modernize to give patients the best environment for a full recovery.

Solution
Lenovo, in partnership with Chooch, develops computer vision solutions that can be deployed atthe edge for healthcare to enhance employee and patient safety, reduce costs, and offer:
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Real-time alerts for rapid incidentresponse.
Continuous learning for improved
image recognition accuracy.
Pre-trained AI models for safety
and security applications for faster deployment.
Secure data options via private
cloud or on-premise deployment
for data privacy and security.
Smart analytics to identify patterns of high-risk areas and trackeffectivess of safety measures.
Real-time monitoring of multiple
video streams for instant inferencing.

The Chooch Platform provides a range of products including:
AI Vision Studio: typically hosted by Chooch, this interface offers users the ability to create datasets, train models, manage devices, and other pertinent management tasks.
Edge Inference Engine: typically deployed on-premises, this component leverages models for
inference at the edge and provides alerts back to Chooch Smart Analytics or to a third-party system via integration.
ReadyNow Models: Chooch provides pre-trained detection models for the most common safety
and security use cases such as slip and falls, weapons, fire and smoke, personal protective equipment (PPE), and more. These models run within the Edge Inference Engine.
Smart Analytics: typically hosted in the Chooch cloud, Smart Analytics delivers an easy-to-use
Tableau-lite dashboard for customers to review detections.
ImageChat: Chooch’s Generative AI model combines computer vision and language for image-totext visual question answering. Trained on over 40 million classes, it provides image context andanalysis for a wide range of use cases. This model runs within the Edge Inference Engine.

Results
This platform equips physicians with critical insight helping, for example, radiologists identify
cellular anomalies and tumors in a shorter time frame, automated logs monitoring surgical andanesthetic procedures and instrument usage, and providing automated remote monitoring of patients including treatments and fall prevention. Chooch’s platform also improves data and facility
security preventing breaches.
Using Chooch’s user-friendly Smart Analytics Dashboard, customers can review detections andmeasure results with its advanced analysis features such as heat mapping and graphs. Furthermore, our AI Vision platform can send real-time alerts to Smart Analytics or other business intelligence systems when detections occur, ensuring swift response and action.

Validated Architecture
Chooch’s AI Vision Platform offers versatile deployment options, catering to the specific needs ofour customers. Customers can choose to deploy it in the cloud, on-premise, or in a hybrid environment.
In a hybrid setup, Chooch Cloud handles management tasks, while the Chooch Edge Inference
Engine, capable of running on either baremetal or virtualized infrastructure, processes video
streams from selected cameras for detections.

Edge

Design Components
Servers

Cameras

Accelerator

MemorySoftwareThinkEdge SE360 V2

10 cameras withup to 3 models

NVIDIA A2

RAM: 16GB or greater
SSD: 256GB or greater

Chooch AI Vision StudioThinkSystem SE450
ThinkSystem SE455 V340 cameras withup to 3 models

NVIDIA A2
NVIDIA L4

RAM: 32GB or greater
SSD: 256GB or greater

Chooch AI Vision StudioThinkSystem SR655 V380 - 150 cameras withup to 3 models

NVIDIA A100 80Gb

RAM: 32GB - 64GB or greater
SSD: 512GB or greater

Chooch AI Vision StudioResources•

Explore Lenovo’s AI Innovators Program•

Explore the Lenovo HPC and AI Innovation and Briefing Center•

Lenovo Validated Design for AI Infrastructure on ThinkSystem Servers•

Chooch Website•

Chooch - Healthcare Solutions•

Lenovo-NVIDIA Alliance

Why Lenovo
Focused on a bold vision to deliver smarter technology for all, Lenovo is developing world-changing
technologies that create a more inclusive, trustworthy, and sustainable digital society. By designing,engineering and building the world’s most complete portfolio of smart devices and infrastructure, we arealso leading an Intelligent Transformation to create better experiences and opportunities for millions ofcustomers around the world.

Why NVIDIA
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI andthe metaverse is profoundly impacting society and transforming the world’s largest industries—from
gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where wecan all connect and create.

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