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Researchers question clinical AI workflow resilience after outage test

Original: Six months ago, I was part of a small research group tasked with a deceptively simple question: *if our clinical decisio

A member of a small research group describes a six-month study into whether hospital clinical decision-support workflows could still be trusted if the underlying AI models went dark for four hours. The account suggests the answer exposed heavy dependence on automated tools in medical decision-making, raising questions about fallback procedures, staff preparedness and patient safety when such systems fail unexpectedly.

Why now: Growing scrutiny of how reliant healthcare has become on AI systems and what happens when they fail

clinical decision-support systemshealthcareAI

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