Real-Time Integration of an AI-Based ECG Interpretation System in the Emergency Department: A Pragmatic Alternating-Day Study of Diagnostic Performance and Clinical Process Metrics
Real-time AI-ECG integration in the ED was associated with improved STEMI detection sensitivity and shorter reperfusion-related time metrics, particularly in atypical presentations, and with reduced hospital LOS among admitted patients. Short-term mortality was comparable between groups. Further multicenter studies are warranted to confirm generalizability and to balance benefits against potential false-positive-related operational impacts.
Authors
- Yun Deok Jang (ORCID: https://orcid.org/0000-0003-3691-4181)
- Woong Bin Jeong
- Su il Kim
- Seong Ju Kim
- In Hye Kang
- Min Seok Choi
Institutions
- Yeungjin College (KR)
- Tongmyong University (KR)
- Inje University Busan Paik Hospital (KR)
- Yeungnam University Medical Center (KR)
- Yeungnam University (KR)
- Daewon University College (KR)
Publication Details
- Journal
- Healthcare
- Published
- 2026-04-07
- DOI
- https://doi.org/10.3390/healthcare14070968
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00