how automated healthcare fails, how you'd know, and what to do at each tier — every claim sourced, reviewed continuously
Weeks after its first COVID-19 admissions, the University of Michigan paused Epic sepsis alerts because dataset shift produced spurious alerting; its clinical AI committee decommissioned the model.
TierThe hospital deactivated the sepsis model after its alerts became spurious. How tiers are assigned.
Finlayson and colleagues report that the University of Michigan Hospital deactivated the Epic sepsis-alerting model in April 2020 because changes in patient characteristics during the pandemic altered the relationship between fever and bacterial sepsis, producing spurious alerts; the hospital's clinical AI governing committee decommissioned its use. A companion study of 24 US hospitals found the share of patients generating sepsis alerts per day rose from 9% to 21% in the three weeks after each hospital's first COVID-19 case, while census fell. Michigan paused alerts 3 to 4 weeks after its first COVID-19 hospitalization, following nursing reports of overalerting.[1,2]
None documented.
All incidents · Models & agents · Human handoff
Information only, not advice. FailSystems is an aggregation and synthesis of published sources. It is not consulting, engineering, legal, regulatory or medical advice, and using it creates no professional relationship. Health systems are complex and no approach fits every organisation: anything you adopt is your own decision, at your own risk, and should be checked against the current official sources and by qualified people who know your setting. Full disclaimer.