Incident #123·AI Safety & Failures
Epic Systems’s Sepsis Prediction Algorithms Revealed to Have High Error Rates on Seriously Ill Patients
Explainability
Description
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.
Actors
Alleged Deployers
- university-of-michigan-hospital
Alleged Developers
- epic-systems
Harmed Parties
- sepsis-patients
Classification
Risk Domain
AI Safety & FailuresRisk Subdomain
7.3. Lack of capability or robustness
MIT Risk Profile
AIUnintentionalPost-deployment
Topics
Explainability
Source
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