BiasMedium
Epic Systems’s Sepsis Prediction Algorithms Revealed to Have High Error Rates on Seriously Ill Patients
- Occurred
- Aug 1, 2021
- Published
- Jun 22, 2021
- Source
- AI Incident Database
Summary
Epic System's sepsis prediction algorithms was shown by investigators at the University of Michigan Hospital to have high rates of false positives and false negatives, allegedly delivering inaccurate and irrelevant information on patients, contrasting sharply with their published claims.
Developers
- Epic Systems
Deployers
- University of Michigan Hospital
Harmed parties
- sepsis patients
Tags
- response
Classification
Category confidence: 85%
Severity confidence: 80%
Rationale: Algorithm errors in medical prediction causing potential harm to patient care outcomes.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8