Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in…

AI / informaticsDiagnostics (Basel, Switzerland)· May 2026

Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea.

Minjeong Kim, Dongjoon Yoo, Eunbi Noh … Gyu Chong Cho

Clinical Decision SupportAI / informaticsQ2IF 4.4

AI decision-support system linked to 21% lower in-hospital cardiac arrest rate on wards

Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea.

Minjeong Kim … Gyu Chong Cho

Diagnostics (Basel, Switzerland) · May 2026 · Q2 in General Medicine

Background

In-hospital cardiac arrest (IHCA) remains a devastating event associated with high morbidity and mortality among general ward patients.

Methods

We conducted a retrospective analysis on a multicenter, staggered-implementation study evaluating 164,761 eligible adult general ward admissions across three secondary hospitals in South Korea.

Results

fewer cardiac arrests on the ward with AI decision support

RR 0.79 (95% CI 0.65 to 0.96)

null 1

0.65

0.96

CI excludes the null - significant

More results

These associations were also observed in patients with sepsis (IHCA aRR 0.71; 95% CI, 0.54-0.93; p = 0.013).

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Conclusion · 1 of 2

In secondary hospitals unable to operate an Rapid Response Systems due to fiscal limitations, implementation of an AI-SaMD as an additional informational layer was associated with lower ward IHCA and in-hospital mortality.

Conclusion · 2 of 2

The AI-SaMD may serve as an actionable and scalable additional safety layer for general-ward patients in resource-constrained environments where Rapid Response Systems infrastructure is not feasible.

Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea.

Implementation of an AI-Based Clinical Decision Support System Predicting In-Hospital Cardiac Arrest in General Wards: A Multicenter Staggered-Implementation Study in Secondary Hospitals in Korea.

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