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A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction.

Fu S, Wang L, He H, et al. A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J Am Med Inform Assoc. 2024;31(7):1493-1502. doi:10.1093/jamia/ocae101.

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July 10, 2024
Fu S, Wang L, He H, et al. J Am Med Inform Assoc. 2024;31(7):1493-1502.
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Standardized taxonomies allow for consistency across settings and enhance research and analysis. This article describes the collaborative effort of developing a standardized taxonomy based on errors from two natural language processing (NLP) models. There was high variability in error types across approaches and electronic health record systems; continued research and refinement is still needed.

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Fu S, Wang L, He H, et al. A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J Am Med Inform Assoc. 2024;31(7):1493-1502. doi:10.1093/jamia/ocae101.

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