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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,...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | 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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