Choudhury A, Asan O. JMIR Med Inform. 2020;8:e18599.
This systematic review explored how artificial intelligence (AI) based on machine learning algorithms and natural language processing is used to address and report patient safety outcomes. The review suggests that AI-enabled decision support systems can improve error detection, patient stratification, and drug management, but that additional evidence is needed to understand how well AI can predict safety outcomes.
This commentary explores two scientific cultures in modern medicine. A ‘traditional culture’ leaves error control up to individuals and groups of healthcare practitioners; the author describes how this culture leads to an overconfidence among practitioners about personal abilities to reduce errors. In contrast, a ‘modern scientific culture’ considers errors as inevitable and pervasive throughout medicine and beyond individuals or groups to control. The author describes the competing priorities of these cultures, and suggests that error control efforts in medicine will be more successful if there is a paradigm shift towards a more ‘modern’ attitude.
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