Becker's Healthcare September 17, 2024
Researchers affiliated with Yale New Haven (Conn.) Health have developed an Epic application that predicts the risk of patients with gastrointestinal bleeding.
The first-of-its-kind machine learning model combs EHR data including symptoms, labs and medical history to create a clinical risk score for patients with GI bleeding. The researchers said creating the tool in Epic, the most widely-used EHR, offers the opportunity for other health systems to customize the data fields to their own patient populations.
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