Automated detection of wrong-drug prescribing errors

BACKGROUND: To assess the specificity of an algorithm designed to detect look-alike/sound-alike (LASA) medication prescribing errors in electronic health record (EHR) data. SETTING: Urban, academic medical centre, comprising a 495-bed hospital and outpatient clinic running on the Cerner EHR. We extr...

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Detalles Bibliográficos
Autores principales: Lambert, Bruce L, Galanter, William, Liu, King Lup, Falck, Suzanne, Schiff, Gordon, Rash-Foanio, Christine, Schmidt, Kelly, Shrestha, Neeha, Vaida, Allen J, Gaunt, Michael J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837246/
https://www.ncbi.nlm.nih.gov/pubmed/31391313
http://dx.doi.org/10.1136/bmjqs-2019-009420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6837246/
https://www.ncbi.nlm.nih.gov/pubmed/31391313
http://dx.doi.org/10.1136/bmjqs-2019-009420

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