ClinicNet: machine learning for personalized clinical order set recommendations

OBJECTIVE: This study assesses whether neural networks trained on electronic health record (EHR) data can anticipate what individual clinical orders and existing institutional order set templates clinicians will use more accurately than existing decision support tools. MATERIALS AND METHODS: We proc...

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Detalles Bibliográficos
Autores principales: Wang, Jonathan X, Sullivan, Delaney K, Wells, Alex C, 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/PMC7382624/
https://www.ncbi.nlm.nih.gov/pubmed/32734162
http://dx.doi.org/10.1093/jamiaopen/ooaa021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382624/
https://www.ncbi.nlm.nih.gov/pubmed/32734162
http://dx.doi.org/10.1093/jamiaopen/ooaa021

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