Quickly identifying people at risk of opioid use disorder in emergency departments: trade-offs between a machine learning approach and a simple EHR flag strategy

OBJECTIVES: Emergency departments (EDs) are an important point of contact for people with opioid use disorder (OUD). Universal screening for OUD is costly and often infeasible. Evidence on effective, selective screening is needed. We assessed the feasibility of using a risk factor-based machine lear...

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Detalles Bibliográficos
Autores principales: Annis, Izabela E, Jordan, Robyn, Thomas, Kathleen C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Emergency Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476155/
https://www.ncbi.nlm.nih.gov/pubmed/36104124
http://dx.doi.org/10.1136/bmjopen-2021-059414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476155/
https://www.ncbi.nlm.nih.gov/pubmed/36104124
http://dx.doi.org/10.1136/bmjopen-2021-059414

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