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Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details

Categories

Solutions

Description

Product Description:

Replace existing hospital manual monitoring with Respiree™'s automated solutions to track vital signs, including heart rate, temperature, respiration, ventilation, and oxygenation, across all wards with interoperable AI (EHR or device)

About Respiree Pte. Ltd.:

None provided

Product Description:

With exciting advances is AI, NLP, machine learning, patients can communicate via voice and/or text, 24/7, extending the reach of physicians and care teams to support self-care from home. YODHA is designed to create a trnsformative patient experience that empowers them to adopt new healthy habits that improve their health and wellness. while reducing their health risk. 

As a customizeable platform, engagement strategies can be delivered to achieve a wide range of business goals. For those focused on reducing the incidence and cost of chronic diseases, our platform applies proven behavior science methodologies to proactively reach at-risk patients and engage them,regardless of their initial level or awareness or motivation. Our behavior science driven approach helps them build motivation and self-confidence to set short-term achieveable goals that support their journey to better health and wellness.  

YODHA can also be deployed to streamline care processes and improve performance on quality indicators including supporting transitions to home following hospital discharges, following up after ER visits, closing care gaps, improving medication compliance and administering surveys. Our platform also offers a new excitijng opportunity to view educational content on demand, deliverered by a trained AI video generator and/or traditional videos and pdfs from our library.  

By integrating available claims, EMR,, lab data with patient provided chats, we create comprehensive patient profiles. Levels of health risk, motivation, self-confidence, mental/emotional health and change readiness to deliver are identified to create personalized approaches to create new healthy habits spanning food/nutrition choices, levels of physicial activity, and emotional control, 

Our technology stack is supported on the AWS platform and includes use of a constrained large language modeel (LLM) conversational AI and an AI video generator that supports voice and text interactions with our YODHA chat bot on smart phones, tablets and desktops. The product integrates patient data from EMR and claims records with information that is gathered in structured chat interactions to tailor personalized engagement strategies that align with the health care organizations patient engagement goals.

About AI Health Solutions, Inc.:

None provided

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Use Cases

Description:

In-patient General Ward Monitoring, improved continuous Direct respiratory monitoring, improving alerting and rapid response.

Home /discharge monitoring

Pediatric use cases:

KK Womens and Children Hospital 

Users:

Kaiser, MGH, Kindred Health, Providence, Mayo, Philips Distributor

Description:

For ACOs and other risk bearing entities to reduce metabolic risk and/or better manage existing chronic diseases such as diabetes and hypertension to reduce risk and cost of care

Pediatric use cases:

None provided

Users:

Patients, Care Teams, Physicians, Health Coaches  

EHR Integrations

Integrations:

None provided

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, Ambulatory EMR, Patient portal, Pop health platform

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

None provided

Hardware Compatibility:

None provided

Client Types

Differentiators

Differentiators vs EHR Functionality:

Continuous DIRECT respiratory measurements vs manual RR, and spot check. Bringing ICU RR level monitoring to general wards

Differentiators vs Competitors:

DIRECT Vital monitoring vs In-Direct PPG (Biobeat, BioIntelliSense, and Pulse Oximeters)

Vitals are actual measurements not averages

Added proprietary AI to provide better deterioration alerting

Differentiators vs EHR Functionality:

Use of conversational AI to learn about patient concerns, aspirtaitons, change readiness and sources of potential motivations to improve their health from home.

Differentiators vs Competitors:

Use of clinical and emtional/ behavioral data to develop personallized patient activation strategies. Integration of a tioconstrained LLM to enable patients to ask general health questions. Use of AI video generators to provide an enaging way to share vetted informtion appropriate for the patient's condition. Omni-channel capabilites support voice and text interactions. Provision of patient abdcare team portals to enable care management

Keywords

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