aceValidation of an Electronic Health Record Model for Unplanned Readmission in Patients With Heart Failure
Risk scores aim to predict 30-day heart failure (HF) readmissions. Current models, including Epic's Risk of Unplanned Readmission for a 30-Day Event, demonstrate modest to moderate discriminatory ability (area under the curve: 0.59-0.72). The goals of this study were to create an electronic health record (EHR)-automatable 30-day HF readmission risk calculator; to test the accuracy of Epic's model to predict 30-day HF readmission risk; and to compare the 2 models. To derive our EHR-automatable model using machine…
A machine-learning risk calculator built from automatable EHR data predicted 30-day heart failure readmission about as well as Epic's commercial model, giving hospitals an independently derived alternative.
Both models achieved only moderate discrimination, and the difference between them was not statistically significant, so the new model is not shown to be better.
Evidence
- Peer-reviewedJACC: Case Reports2026-10-16
How should this claim be treated?
Truvace Impact Record TRV-2026-1960, v1: “Validation of an Electronic Health Record Model for Unplanned Readmission in Patients With Heart Failure.” Truvace, 2026-10-20. /record/TRV-2026-1960 (accessed at citation time). sha256 ed9b635793809d19…
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