Patient Safety, - Institute for Systems Integrity

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When Trust Is Tested: Responding to AI-Related Harm in Healthcare From Adverse Events to System Learning and Continuing Assurance

When AI contributes to patient harm, the task is bigger than finding fault. This paper examines how healthcare systems should protect patients, identify wider exposure, investigate across the socio-technical system, align accountability and maintain continuing assurance.

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🚨 STOP MANAGING THE DEPARTMENTS...START MANAGING THE FLOW.--The Operational Integrity Loop : A Practical Model for Matching Demand, Capacity and Constraints Before the Patient Finds the Failure

Everyone can be busy and the patient can still be stuck. The Operational Integrity Loop™ provides a practical way to see demand, test usable capacity, find constraints, protect flow and learn before operational pressure becomes failure.

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🚨 THE SYSTEM PUSHED THEM TO 150%. THE MISTAKE WAS 100% THEIRS? - The Accountability Transfer™

What happens when an organisation demands 150% from its frontline, then treats the eventual human mistake as 100% theirs? The Accountability Transfer™ examines how systemic risk becomes individual blame

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🚨 WHEN ACCOUNTABILITY DEPENDS ON WHO YOU ARE : How Power, Status and Institutional Value Distort Justice in Healthcare

Accountability should follow evidence, not hierarchy. But when status, relationships, tribal belonging or institutional value influence who receives context, scrutiny or protection, accountability itself becomes a governance risk.