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Reducing drug prescription errors and adverse drug events by application of a probabilistic, machine-learning based clinical decision support system in an inpatient setting

BACKGROUND: Drug prescription errors are made, worldwide, on a daily basis, resulting in a high burden of morbidity and mortality. Existing rule-based systems for prevention of such errors are unsuccessful and associated with substantial burden of false alerts. OBJECTIVE: In this prospective study,...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:J Am Med Inform Assoc
Κύριοι συγγραφείς: Segal, G, Segev, A, Brom, A, Lifshitz, Y, Wasserstrum, Y, Zimlichman, E
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Oxford University Press 2019
Θέματα:
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7647149/
https://ncbi.nlm.nih.gov/pubmed/31390471
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz135
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