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

Artificial Intelligence (122) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (147) Clinical Information and Decision Making (1340) Artificial Intelligence (1216) Substance Abuse (383) Clinical Informatics (919) Decision Support for Health Professionals (1147) Electronic Health Records (971) Pharmacovigilance (129)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45000, first published .
Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study

Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study

Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study

Authors of this article:

Alfred Sorbello1 Author Orcid Image ;   Syed Arefinul Haque1 Author Orcid Image ;   Rashedul Hasan1 Author Orcid Image ;   Richard Jermyn2 Author Orcid Image ;   Ahmad Hussein2 Author Orcid Image ;   Alex Vega2 Author Orcid Image ;   Krzysztof Zembrzuski2 Author Orcid Image ;   Anna Ripple3 Author Orcid Image ;   Mitra Ahadpour1 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics

Journals

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