Tel-Aviv-based Maccabi Healthcare Services, an HMO with 2.4 million members, announced today the deployment of a new AI-powered algorithm that identifies individuals estimated to be at the highest risk of severe COVID-19 complications due to pre-existing conditions and other health factors. The new algorithm has already identified the top 2% of highest-risk patients (approximately 40,000 people), following analysis of all Maccabi patients’ anonymized electronic health records (EHRs).
Medial EarlySign and the Kahn-Sagol-Maccabi Research and Innovation Institute collaborated on the development of the new algorithm. Medial EarlySign’s algorithms assist healthcare providers with the early detection of a number of life-threatening conditions, including lower GI disorders, prediabetes progression to diabetes, and colorectal cancer.
The new algorithm enables Maccabi to objectively select the patients who should be fast-tracked for COVID-19 testing and classifies them according to three levels of estimated risk. Professor Varda Shalev, director of the Kahn-Sagol-Maccabi Research and Innovation Institute said in a statement that “Early identification of those at greatest risk is crucial to supporting healthcare professionals and to flattening the curve of the pandemic.” Medial EarlySign is currently in advanced negotiations with prominent medical systems in the United States who are interested in the algorithm as part of their COVID-19 healthcare protocols.
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