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

Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (159) Computerized Provider Order Entry (CPOE) (23) Electronic Health Records (1068)

Published on in Vol 10, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40511, first published .
Appropriateness of Alerts and Physicians’ Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational Study

Appropriateness of Alerts and Physicians’ Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational Study

Appropriateness of Alerts and Physicians’ Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational Study

Authors of this article:

Hyunjung Park1 Author Orcid Image ;   Minjung Kathy Chae1 Author Orcid Image ;   Woohyeon Jeong1 Author Orcid Image ;   Jaeyong Yu1 Author Orcid Image ;   Weon Jung1 Author Orcid Image ;   Hansol Chang1, 2 Author Orcid Image ;   Won Chul Cha1, 2, 3 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

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  1. Wang M, Jia M, Wei Z, Wang W, Shang Y, Ji H. Construction and effectiveness evaluation of a knowledge-based infectious disease monitoring and decision support system. Scientific Reports 2023;13(1) View
  2. Jin L, Fang H, Shen J, He Z, Li Y, Dong L, Feng J, Asakawa T. Evaluation of appropriateness of alerts overrides and physicians' responses of the medication-related clinical decision support system in China, a hospital-based study. Drug Discoveries & Therapeutics 2024;18(2):89 View
  3. Felisberto M, Lima G, Celuppi I, Fantonelli M, Zanotto W, Dias de Oliveira J, Mohr E, dos Santos R, Scandolara D, Cunha C, Hammes J, da Rosa J, Demarchi I, Wazlawick R, Dalmarco E. Override rate of drug-drug interaction alerts in clinical decision support systems: A brief systematic review and meta-analysis. Health Informatics Journal 2024;30(2) View
  4. Patel M, Mara A, Acker Y, Gollon J, Setji N, Walter J, Wolf S, Zafar S, Balu S, Gao M, Sendak M, Casarett D, LeBlanc T, Ma J. Machine Learning for Targeted Advance Care Planning in Cancer Patients: A Quality Improvement Study. Journal of Pain and Symptom Management 2024;68(6):539 View