aceEnhancing diagnostic safety: addressing knowledge gaps for using human factors tools in the safe and effective use of AI - a proposed research agenda
Introduction Identify knowledge gaps in applying artificial intelligence in clinical settings, using medical imaging as a primary use case to enhance diagnostic efficacy, efficiency, and patient and provider safety. Methods We convened a two-day workshop with 18 interdisciplinary experts from three countries. Experts represented quality and patient safety, human factors and systems engineering, radiology and other medical specialties, nursing, medical informatics, cognitive and perceptual psychology, psychometri…
Clinical AI deployment without human-factors tools risks automation bias, overreliance, fragmentation of care, and other unintended consequences that threaten diagnostic safety.
Findings derive from a two-day expert consensus workshop with 18 participants rather than empirical evaluation of deployed AI systems, limiting generalizability to specific clinical workflows.
Evidence
- Peer-reviewedDiagnosis2026-08-13
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Truvace Impact Record TRV-2026-0750, v1: “Enhancing diagnostic safety: addressing knowledge gaps for using human factors tools in the safe and effective use of AI - a proposed research agenda.” Truvace, 2026-08-14. /record/TRV-2026-0750 (accessed at citation time). sha256 440ad8884f439a92…
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