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A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.

Corny J, Rajkumar A, Martin O, et al. A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error. J Am Med Inform Assoc. Epub 2020 Sept 29. doi: 10.1093/jamia/ocaa154

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October 21, 2020
Corny J, Rajkumar A, Martin O, et al. J Am Med Inform Assoc. 2020;27(11):1695–1704.

Machine learning can improve the accuracy of clinical decision support (CDS) tools. This single-site study used data from the electronic health record (EHR) and clinical pharmacist review to test the accuracy of a hybrid CDS system to identify prescriptions with high risk of medication error. The machine-learning based approach was more accurate than existing techniques such as the traditional CDS system and can improve the reliability of prescription checks in an inpatient setting.  

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Corny J, Rajkumar A, Martin O, et al. A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error. J Am Med Inform Assoc. Epub 2020 Sept 29. doi: 10.1093/jamia/ocaa154

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