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

Design and Usability of Clinical Software and EHRs (289) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (175) Medical Device Adverse Events, Errors, Safety (17) Pharmacovigilance (153) Safety and Error Prevention in Health (220)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52495, first published .
Characterizing and Comparing Adverse Drug Events Documented in 2 Spontaneous Reporting Systems in the Lower Mainland of British Columbia, Canada: Retrospective Observational Study

Characterizing and Comparing Adverse Drug Events Documented in 2 Spontaneous Reporting Systems in the Lower Mainland of British Columbia, Canada: Retrospective Observational Study

Characterizing and Comparing Adverse Drug Events Documented in 2 Spontaneous Reporting Systems in the Lower Mainland of British Columbia, Canada: Retrospective Observational Study

Authors of this article:

Erica Y Lau1, 2 Author Orcid Image ;   Amber Cragg2 Author Orcid Image ;   Serena S Small2 Author Orcid Image ;   Katherine Butcher3 Author Orcid Image ;   Corinne M Hohl1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Lau E, Bird L, Lau A, Chau Y, Butcher K, Buchkowsky S, Gossack-Keenan K, Sadowski C, Hohl C. Developing a SNOMED CT-based value set to document symptoms and diagnoses for adverse drug events: A mixed-methods study (Preprint). JMIR Medical Informatics 2024 View