OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases

OBJECTIVE: To assess usability and usefulness of a machine learning-based order recommender system applied to simulated clinical cases. MATERIALS AND METHODS: 43 physicians entered orders for 5 simulated clinical cases using a clinical order entry interface with or without access to a previously dev...

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Detalles Bibliográficos
Autores principales: Kumar, Andre, Aikens, Rachael C, Hom, Jason, Shieh, Lisa, Chiang, Jonathan, Morales, David, Saini, Divya, Musen, Mark, Baiocchi, Michael, Altman, Russ, Goldstein, Mary K, Asch, Steven, Chen, Jonathan H
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/PMC7727352/
https://www.ncbi.nlm.nih.gov/pubmed/33106874
http://dx.doi.org/10.1093/jamia/ocaa190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727352/
https://www.ncbi.nlm.nih.gov/pubmed/33106874
http://dx.doi.org/10.1093/jamia/ocaa190

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