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

Clinical Information and Decision Making (1915) Electronic Health Records (1319) Decision Support for Health Professionals (1539) Cardiac Arrhythmia, Atrial Fibrillation (115) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (215)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68256, first published .
Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study

Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study

Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study

Authors of this article:

Katy E Trinkley1 Author Orcid Image ;   Steven T Simon2 Author Orcid Image ;   Michael A Rosenberg2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Li Y, Xiao M, Li Y, Lv L, Zhang S, Liu Y, Zhang J. Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation. JMIR Medical Informatics 2025;13:e72349 View
  2. Rosenberg M. Different by Design: Heterogeneity in Models of Risk Prediction and Clinical Decision Support in Screening for Atrial Fibrillation. Circulation: Cardiovascular Quality and Outcomes 2025;18(7) View