ShoshanaBloom
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A recent white paper, Clinical Competency in the Age of AI, presents findings from a systematic narrative synthesis of 445 studies examining clinical competency requirements in AI-augmented healthcare. It addresses a structural gap in how current competency frameworks prepare clinicians for AI-assisted practice. In addition to examining the breadth of research into clinical risks associated with use of AI in clinical care, the research analysed 23 existing AI competency and capability frameworks, including the NHS Health Education England AI and Digital Healthcare Technologies Capability Framework and the DECODE international consensus framework. It found that across all reviewed frameworks, the competencies most critical for frontline patient safety—critical appraisal of AI recommendations, detection of biased outputs, governance escalation, and protection of professional moral accountability—are largely limited to awareness statements for frontline users. Clinicians are expected to understand what AI is. They are not equipped to practise safely with it. The white paper proposes a five-domain competency framework, specified across three career stages, that translates intersecting AI risks into assessable clinical capabilities for practising clinicians.
