From prediction to action: a retrospective observational study on the real-world implementation of Critical Interventions (CrIs), an AI-based clinical decision support system changing clinical behavior in the emergency department
Authors
Y. Song (ORCID: https://orcid.org/0000-0001-6840-1642)
From prediction to action: a retrospective observational study on the real-world implementation of Critical Interventions (CrIs), an AI-based clinical decision support system changing clinical behavior in the emergency department
Y. Song, Sejin Heo, Jae Yong Yu, Gun Tak Lee et al.
Journal
BMC Medical Informatics and Decision Making
Topics
Clinical Reasoning and Diagnostic Skills
article
From prediction to action: a retrospective observational study on the real-world implementation of Critical Interventions (CrIs), an AI-based clinical decision support system changing clinical behavior in the emergency department
Y. Song, Sejin Heo, Jae Yong Yu, Gun Tak Lee, Hansol Chang, Taerim Kim, Hee Jung Yoon, Sung Yeon Hwang, Se Uk Lee, Hyunjung Park, Won Chul, Jong Eun Park
article en
Abstract
No abstract available for this paper.
Publication Tag
BMC Medical Informatics and Decision MakingVol. 25(1)
Institutions
Hallym University (KR), Kangnam University (KR), Samsung (South Korea) (KR), Hallym Polytechnic University (KR), Samsung Medical Center (KR), Sungkyunkwan University (KR)
Funders
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
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From prediction to action: a retrospective observational study on the real-world implementation of Critical Interventions (CrIs), an AI-based clinical decision support system changing clinical behavior in the emergency department — Y. Song, Sejin Heo, et al. · BMC Medical Informatics and Decision Making (2025) | TGRS Research Map | TGRS