WF-9UQE2Q
Epic Systems’s Sepsis Prediction Algorithms Revealed to Have High Error Rates on Seriously Ill Patients
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.
- Date it happened
- 2021-08-01
- Organisation involved
- University of Michigan Hospital
- Product, system or model
- The Epic Sepsis Model calculates and indicates the probability of a likelihood of sepsis to help clinicians identify hard-to-spot cases.
Where this came from
Attribution
This incident was imported from AI Incident Database and is used under CC BY-SA 4.0. Our additions to it — the structured fields, the translation, the checks against other reports — are published under the same licence.
This is a record of what was reported, not a finding that anyone broke the law. If it names your organisation and you believe it is wrong, the corrections process is free and open to everyone.