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A machine learning–based clinical decision support system to identify prescriptions with a high risk of medication error
OBJECTIVE: To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks. MATERIALS AND METHODS: Data from electronic health records were collated over a period of 18...
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| Pubblicato in: | J Am Med Inform Assoc |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7671619/ https://ncbi.nlm.nih.gov/pubmed/32984901 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa154 |
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