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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

Crossref DOI link: https://doi.org/10.1186/s12911-025-03234-x

Published Online: 2025-11-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chang, Hansol

Yu, Jae Yong

Park, Hyunjung

Song, Yee Jun

Heo, Sejin

Park, Jong Eun

Lee, Gun Tak

Lee, Se Uk

Kim, Taerim

Yoon, Hee

Hwang, Sung Yeon

Cha, Won Chul
Funding

Funding for this research was provided by:

National Research Foundation of Korea (NRF) grant funded by the Korea Government (No.2022R1A2C3004595)
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Text and Data Mining valid from 2025-11-03

Version of Record valid from 2025-11-03
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Article History

Received: 7 July 2025

Accepted: 1 October 2025

First Online: 3 November 2025

Declarations

:

: This study was approved by the Institutional Review Board (IRB) of the Samsung Medical Center. The Institutional Review Board of Samsung Medical Center waived the need for informed consent because of the retrospective, observational, and anonymous nature of the study by the institutional review board (IRB) of Samsung Medical Center. (IRB No. 2022-04-116-001). This study was conducted in accordance with the Declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

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