Summary
Provides a process-oriented framework for assessing and mitigating the risk that healthcare AI worsens inequities, covering accountability, fairness, fitness for purpose, reliability and validity, and transparency across eight key decisions in the AI adoption lifecycle.
Healthcare Implications
Healthcare delivery organizations should use the framework throughout problem selection, product definition, validation, rollout, monitoring, and decommissioning to identify affected groups, gather relevant data and stakeholder input, test equity risks, document accountability, and allocate resources for mitigation.