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

RCTs - Protocols/Proposals (eHealth) (1400) Clinical Informatics (2391) Decision Support for Health Professionals (2348) Cardiac Risk and Cardiac Risk Calculators (186) Applications of AI (1093) Responsible Health AI (266) AI Governance and Policy (80)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/104230, first published .
Doctor shows tablet with "Vital-MD Study" to elderly patient

Clinical Effectiveness of AI-Based Cardiac Arrest Prediction System for General Ward Patients (VITAL-MD): Protocol for a Multicenter Pragmatic Stepped Wedge Cluster Randomized Controlled Trial

Clinical Effectiveness of AI-Based Cardiac Arrest Prediction System for General Ward Patients (VITAL-MD): Protocol for a Multicenter Pragmatic Stepped Wedge Cluster Randomized Controlled Trial

Authors of this article:

Mincheol Kim1, 2 Author Orcid Image ;   Kyung Hoon Kim3 Author Orcid Image ;   Minsoo Kim1 Author Orcid Image ;   Sun Jung Kwon4 Author Orcid Image ;   Myung Soo Park5 Author Orcid Image ;   Ah Jin Kim6 Author Orcid Image ;   Man-Jong Lee6 Author Orcid Image ;   Mi Hwa Park6 Author Orcid Image ;   Hyung Keun Cha6 Author Orcid Image ;   Minhyeok Lee4 Author Orcid Image ;   In Beom Jeong4 Author Orcid Image ;   Soon Joo Wang7 Author Orcid Image ;   Sung Bak An8 Author Orcid Image ;   Jeen Hwa Lee5 Author Orcid Image ;   Kyung-Jae Cho1 Author Orcid Image ;   Jinhui Jang9 Author Orcid Image ;   HyoJin Jeong10 Author Orcid Image ;   Yoon Young Lee11 Author Orcid Image ;   Woori Han12 Author Orcid Image ;   VITAL-MD Study Group6 ;   Jung Soo Kim6 Author Orcid Image ;   Dongjoon Yoo6 Author Orcid Image
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