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

Decision Support for Health Professionals (1210) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (591) Clinical Information and Decision Making (1434) Natural Language Processing (706) Electronic Health Records (1068) Clinical Informatics (1050) Substance Abuse (428) Opioid and Related Substance Misuse (149)

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
Article Authors Cited by (11) Tweetations (5) Metrics

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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
  3. Li L, Yuan L, Yang K, Wu Y, Alafati S, Hua X, Wang Y, Yuan X. Comparison of the accuracy of 9 intraocular lens power calculation formulas after SMILE in Chinese myopic eyes. Scientific Reports 2023;13(1) View
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  6. Nilius H, Tsouka S, Nagler M, Masoodi M. Machine learning applications in precision medicine: Overcoming challenges and unlocking potential. TrAC Trends in Analytical Chemistry 2024;179:117872 View
  7. Mwogosi A. Revolutionizing primary health care in Tanzania: unravelling the contextual factors on electronic health record systems implementation for effective decision support. Journal of Science and Technology Policy Management 2024 View
  8. Eguia H, Sánchez-Bocanegra C, Vinciarelli F, Alvarez-Lopez F, Saigí-Rubió F. Clinical Decision Support and Natural Language Processing in Medicine: Systematic Literature Review. Journal of Medical Internet Research 2024;26:e55315 View
  9. Machado M, Marques J, Gualdani F, Dos Santos M, Lario F, De Araujo C, Oliveira F, Ensina L, Marcacini R, Moreira D. Evaluating large language models for anaphylaxis detection in clinical notes. Journal of Health Informatics 2024;16(Especial) View

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