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Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review.

Yasrebi-de Kom IAR, Dongelmans DA, de Keizer NF, et al. Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review. J Am Med Inform Assoc.Epub 2023 Feb 20 10.1093/jamia/ocad014    

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March 29, 2023
Yasrebi-de Kom IAR, Dongelmans DA, de Keizer NF, et al. J Am Med Inform Assoc. 2023;30(5):978-988.
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Prediction models are increasingly used in healthcare to identify potential patient safety events. This systematic review including 25 articles identified several challenges related to electronic health record (EHR)-based prediction models for adverse drug event diagnosis or prognosis, including adherence to reporting standards, use of best practices to develop and validate prediction models, and absence of causal prediction modeling.

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Yasrebi-de Kom IAR, Dongelmans DA, de Keizer NF, et al. Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review. J Am Med Inform Assoc.Epub 2023 Feb 20 10.1093/jamia/ocad014    

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