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

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Categories

Solutions

Description

Product Description:

Research findings: In conjunction with researchers at Roche and the National Taiwan University Hospital and College of Medicine in Taipei, the conclusions of the study demonstrated that LungFlag™ was able to work on Taiwanese EMR data and presented superiority over criteria based selection of individuals (USPSTF) and performed better than gold standard benchmark risk model PLCOm2012 that was adapted to be used on EMR data. The results were comparable to the previous validation studies and indicates that LungFlag™ can immediately support Taiwan screening program in identifying elevated risk populations among ever-smokers and potentially also on never-smokers populations.

About Medial EarlySign:
Medial EarlySign develops an AI algorithmic platform for the discovery of clinical insights that indicate the likelihood of disease from basic medical information, such as blood test results, and other EMR data. Called AlgoMarkers, its predictive engines are built in collaboration with healthcare organizations, through the combination of 10s of millions of patient years-worth of data, clinical rigor and some of the most brilliant algorithmic minds. The company develops clinical decision support and population health solutions that can assist in the early prediction of clinical outcomes related to cancers, metabolic, immune and infectious diseases. These tools are designed to place at the fingertips of healthcare organizations only those insights that could prove critical in disease management and prevention empowering them with proactive, predictive and personalized care management capabilities
Product Description:
The product is offered to health providers and health plans as a platform to engage, motivate and activate their at-risk patients/members to enable discharges to home, follow up from ER visits, closing care gaps and slowing, preventing or managing the onset of chronic diseases from metabolic conditions. Developed on a leading conversational AI platform that supports voice and text patient interactions with YODHA chat bot on smart phones 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.:

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EHR Integrations

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EMR Integration & Relevant Hardware:

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Integrations:

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Client Types

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Company Details

Founded in 2009

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