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

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-11-03
DOI
https://doi.org/10.1186/s12911-025-03234-x
Primary Topic
Clinical Reasoning and Diagnostic Skills
Type
article
Field-Weighted Citation Impact
0.00

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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 et al.
BMC Medical Informatics and Decision Making
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.
BMC Medical Informatics and Decision MakingVol. 25(1)
Hallym University (KR), Kangnam University (KR), Samsung (South Korea) (KR), Hallym Polytechnic University (KR), Samsung Medical Center (KR), Sungkyunkwan University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 64%
Clinical Reasoning and Diagnostic Skills
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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