This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1127) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (538) Clinical Information and Decision Making (1314) Natural Language Processing (636) Electronic Health Records (961) Clinical Informatics (904) Substance Abuse (379) Opioid and Related Substance Abuse Crisis (125)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44977, first published .
Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults

Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults

Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults

Authors of this article:

Majid Afshar1 Author Orcid Image ;   Sabrina Adelaine1 Author Orcid Image ;   Felice Resnik1 Author Orcid Image ;   Marlon P Mundt1 Author Orcid Image ;   John Long1 Author Orcid Image ;   Margaret Leaf1 Author Orcid Image ;   Theodore Ampian1 Author Orcid Image ;   Graham J Wills1 Author Orcid Image ;   Benjamin Schnapp1 Author Orcid Image ;   Michael Chao1 Author Orcid Image ;   Randy Brown1 Author Orcid Image ;   Cara Joyce2 Author Orcid Image ;   Brihat Sharma1 Author Orcid Image ;   Dmitriy Dligach2 Author Orcid Image ;   Elizabeth S Burnside1 Author Orcid Image ;   Jane Mahoney1 Author Orcid Image ;   Matthew M Churpek1 Author Orcid Image ;   Brian W Patterson1 Author Orcid Image ;   Frank Liao1 Author Orcid Image
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  2. Fernando M, Abell B, Tyack Z, Donovan T, McPhail S, Naicker S. Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review. Journal of Medical Internet Research 2023;25:e45163 View
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  4. Gao J, Chen G, O’Rourke A, Caskey J, Carey K, Oguss M, Stey A, Dligach D, Miller T, Mayampurath A, Churpek M, Afshar M. Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. Journal of the American Medical Informatics Association 2024;31(6):1291 View
  5. Pinsky M, Bedoya A, Bihorac A, Celi L, Churpek M, Economou-Zavlanos N, Elbers P, Saria S, Liu V, Lyons P, Shickel B, Toral P, Tscholl D, Clermont G. Use of artificial intelligence in critical care: opportunities and obstacles. Critical Care 2024;28(1) View

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