Incident 123: Epic Systems’s Sepsis Prediction Algorithms Revealed to Have High Error Rates on Seriously Ill Patients

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.


New ReportNew ReportNew ResponseNew ResponseDiscoverDiscover
Alleged: Epic Systems developed an AI system deployed by University of Michigan Hospital, which harmed sepsis patients.

Incident Stats

Incident ID
Report Count
Incident Date
Sean McGregor, Khoa Lam


A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.