An Automatically Adaptive Digital Health Intervention to Decrease Opioid-Related Risk While Conserving Counselor Time: Quantitative Analysis of Treatment Decisions Based on Artificial Intelligence and Patient-Reported Risk Measures

BACKGROUND: Some patients prescribed opioid analgesic (OA) medications for pain experience serious side effects, including dependence, sedation, and overdose. As most patients are at low risk for OA-related harms, risk reduction interventions requiring multiple counseling sessions are impractical on...

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Detalles Bibliográficos
Autores principales: Piette, John D, Thomas, Laura, Newman, Sean, Marinec, Nicolle, Krauss, Joel, Chen, Jenny, Wu, Zhenke, Bohnert, Amy S B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369305/
https://www.ncbi.nlm.nih.gov/pubmed/37432726
http://dx.doi.org/10.2196/44165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369305/
https://www.ncbi.nlm.nih.gov/pubmed/37432726
http://dx.doi.org/10.2196/44165

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