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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Detalles Bibliográficos
Autores principales: Corny, Jennifer, Rajkumar, Asok, Martin, Olivier, Dode, Xavier, Lajonchère, Jean-Patrick, Billuart, Olivier, Bézie, Yvonnick, Buronfosse, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671619/
https://www.ncbi.nlm.nih.gov/pubmed/32984901
http://dx.doi.org/10.1093/jamia/ocaa154

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671619/
https://www.ncbi.nlm.nih.gov/pubmed/32984901
http://dx.doi.org/10.1093/jamia/ocaa154

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