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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.
Piette, John D; Thomas, Laura; Newman, Sean; Marinec, Nicolle; Krauss, Joel; Chen, Jenny; Wu, Zhenke; Bohnert, Amy S B.
Afiliación
  • Piette JD; Ann Arbor Department of Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, United States.
  • Thomas L; Department of Health Behavior Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
  • Newman S; Ann Arbor Department of Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, United States.
  • Marinec N; Department of Anesthesiology, School of Medicine, University of Michigan, Ann Arbor, MI, United States.
  • Krauss J; Ann Arbor Department of Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, United States.
  • Chen J; Department of Health Behavior Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
  • Wu Z; Ann Arbor Department of Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, United States.
  • Bohnert ASB; Department of Health Behavior Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
J Med Internet Res ; 25: e44165, 2023 07 11.
Article en En | MEDLINE | ID: mdl-37432726
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dolor Crónico / Consejeros / Trastornos Relacionados con Opioides Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dolor Crónico / Consejeros / Trastornos Relacionados con Opioides Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá