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Medial EarlySign

Medial EarlySign

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
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Alphabetical
Highest rated

Filter products


Product Name

EMR compatibility

Star rating

Client types

Solution libraries
  • EPIC Showroom
  • Oracle Cloud Market

Keywords

Solutions

Filter products by Health System clients


Used by

EMR used

Organization size

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5+ years in business
5+ years in business
5+ years in business
5+ years in business

Intended Use

LGI-Flag™ is a computational software tool that is intended to identify individuals at risk for lower GI disorders that warrant further evaluation. It is based on complete blood count (CBC) patterns mainly related to erythrocyte features, measured and derived from peripheral venous blood specimens. LGI-Flag™ is indicated for use in individuals of the general population, between 50 and 75 years of age, who are not under active GI surveillance.

LGI-Flag™ 3.0 is recommended for use by healthcare systems and their affiliates (such as care providers and population health managers) within their Information Technology (IT) systems. LGI-Flag™ is an adjunct to established clinical guidelines and a referral for further evaluation should be based on the clinical judgment of the care provider.

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key clients
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
+50 verified clients
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Versatile platform
Versatile platform
5+ years in business
5+ years in business
Versatile platform
Versatile platform
5+ years in business
5+ years in business
EarlySign’s COVID Complications AlgoMarker Identifies individuals at increased risk for having COVID-19 complications. With the goal of prioritizing patients for COVID-19 testing and treatment, this new AlgoMarker aids in triaging patients by reducing chart review time to determine whether they are potentially at high risk for hospitalization, complications, and mortality.
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key clients
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
+50 verified clients
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Product Logo
5+ years in business
5+ years in business
5+ years in business
5+ years in business

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.

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key clients
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
+50 verified clients
To see which organizations are using this product, sign in or create a free account.

Visit Website

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