Closing the Wing to Eliminate One Risk — and Ignoring Bigger Ones
A real-world example of Zero-risk bias in action
Context
A 320-bed regional hospital identified two ongoing safety problems: a rarely used inpatient wing with intermittent water-system contamination linked to one confirmed infection per year, and hospital-wide hand-hygiene noncompliance estimated to cause dozens of healthcare-associated infections (HAIs) annually. Leadership faced pressure from a patient-safety committee and an alert from an external auditor.
Situation
Hospital executives needed to choose an immediate mitigation strategy while preparing a longer-term safety plan. The choices were (A) shut down and decontaminate the affected wing immediately, which would entirely eliminate that specific water-source risk but be costly and disruptive, or (B) invest in a broad hand-hygiene improvement program (training, monitoring, alcohol dispensers, feedback systems) expected to reduce overall HAIs by an estimated 60%.
The bias in action
Decision-makers opted to close and decontaminate the wing immediately because that action would completely eliminate the specific contamination risk — delivering a clear, certain result that was easy to communicate to regulators and the public. They treated the single-source elimination as a satisfying, visible win and deprioritized the broader hygiene program despite data showing it would prevent far more infections. The choice reflected a preference for removing one discrete risk entirely (zero risk from the wing) rather than taking the more complex, probabilistic action that reduced a larger aggregate risk but did not guarantee zero infections.
Outcome
The wing closure eliminated the one water-source infection but created capacity and operational problems: elective surgeries were canceled, patients were diverted to other wards or nearby hospitals, and staff resources were stretched. Because the hand-hygiene program was delayed, overall HAI rates did not fall and, within six months, crowding and staff workload correlated with an increase in other HAIs.
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