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

Clinical Informatics (2343) Clinical Information and Decision Making (3816) Digital Health, Telehealth and e-Innovation in Clinical Settings (739) mHealth in a Clinical Setting (1178) Decision Support for Health Professionals (2290) Safety and Error Prevention in Health (328) Machine Learning (3281) Artificial Intelligence (4901)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/101202, first published .
Pharmacist reviews anticoagulant dosing data on a computer dashboard in a pharmacy.

A Hybrid Rule-Based and Machine Learning–Based Clinical Decision Support System to Support Prescription Review: Development and External Validation Study

A Hybrid Rule-Based and Machine Learning–Based Clinical Decision Support System to Support Prescription Review: Development and External Validation Study

Authors of this article:

Jonghyun Jeong1 Author Orcid Image ;   Kyu-Nam Heo1, 2 Author Orcid Image ;   A Jeong Kim3 Author Orcid Image ;   Jin Hee Baek3 Author Orcid Image ;   Yun Hee Jo3 Author Orcid Image ;   Sunghwan Kim3 Author Orcid Image ;   Mingi Jo4 Author Orcid Image ;   Young-Mi Ah5 Author Orcid Image ;   Ji Min Han6 Author Orcid Image ;   Sae Won Choi7 Author Orcid Image ;   Junho Song4 Author Orcid Image ;   Sangil Min8 Author Orcid Image ;   Ju-Yeun Lee1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Jonghyun Jeong   1 * , PharmD ;   Kyu-Nam Heo   1, 2 * , PharmD, PhD ;   A Jeong Kim   3 , PhD ;   Jin Hee Baek   3 , MSc ;   Yun Hee Jo   3 , PhD ;   Sunghwan Kim   3 , MSc ;   Mingi Jo   4 , BSc ;   Young-Mi Ah   5 , PhD ;   Ji Min Han   6 , PhD ;   Sae Won Choi   7 , MD ;   Junho Song   4 , MSc ;   Sangil Min   8 , MD, PhD ;   Ju-Yeun Lee   1, 2 , PhD

1 College of Pharmacy, Seoul National University, Seoul, Republic of Korea

2 College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea

3 Department of Pharmacy, Seoul National University Hospital, Seoul, Republic of Korea

4 ZerOne AI Inc, Seoul, Republic of Korea

5 College of Pharmacy, Yeungnam University, Daegu, Republic of Korea

6 College of Pharmacy, Chungbuk National University, Cheongju, Republic of Korea

7 Office of Hospital Information, Seoul National University Hospital, Seoul, Republic of Korea

8 Department of Surgery, Seoul National University Hospital, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Ju-Yeun Lee, PhD
  • College of Pharmacy, Seoul National University
  • 1 Gwanak-ro, Gwanak-gu
  • Seoul 08826
  • Republic of Korea
  • Phone: 82-2-3668-7472
  • Email: jypharm@snu.ac.kr