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09/21/26

AI for health care quality and patient safety: scoping review of diagnostic, predictive, and decision support applications.

Xu, Yang; Veillard, Jeremy; Kong, Jude Dzevela. J Med Intern Res.

Collection Topics
AI and Diagnosis Culture, Work System, and Implementation Health IT
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Summary

AI is increasingly shaping diagnostic quality and patient safety in healthcare. This review examined diagnostic, predictive, and decision-support applications, along with value assessment, across healthcare quality and safety domains. It identifies five persistent barriers to aligning AI with clinical value: limited real-world testing, poor integration with clinical workflows, inadequate interoperability, equity concerns, and uncertainty about costs and oversight.
Read the paper
Xu Y, Veillard J, Kong JD. AI for health care quality and patient safety: scoping review of diagnostic, predictive, and decision support applications. J Med Internet Res. 2026;28:e95157.