Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study.

Azade Tabaie Alberta Tran Tony Calabria Sonita S Bennett Arianna Milicia William S Weintraub William James Gallagher John Yosaitis Laura C Schubel Mary A Hill Kelly Michelle Smith Kristen E Miller

Published in: Journal of medical Internet research (2024)

Our findings demonstrate that natural language processing can be a potential solution to more effectively identifying and selecting potential diagnostic error cases for review and therefore reducing the case review burden.

Keyphrases

autism spectrum disorder
emergency department
patient safety
risk factors
climate change
human health
artificial intelligence
solid state