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A machine learning–based clinical decision support system to identify prescriptions with a high risk of medication error
2020·188 Zitationen·Journal of the American Medical Informatics AssociationOpen Access
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Zitationen
8
Autoren
2020
Jahr
Abstract
By primarily targeting high-risk patients, this novel hybrid decision support system improved the accuracy and reliability of prescription checks in a hospital setting.
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Pharmaceutical Practices and Patient OutcomesPatient Safety and Medication ErrorsElectronic Health Records Systems