Assessing Health Care Professionals’ Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety–Based Consensual Qualitative Research
This preimplementation, SEIPS-based qualitative evaluation suggests that the successful adoption of an AI-enabled transfusion CDSS depends not only on predictive performance but also on sociotechnical readiness, including user trust, workflow fit, and organizational support. These findings provide practice-based insights to inform staged implementation, training, and governance strategies aimed at safely integrating predictive transfusion CDSSs into EHR-supported surgical workflows.
Authors
- Ye-Eun Park (ORCID: https://orcid.org/0000-0003-1190-7882)
- Dae-Hyun Ko
- Yura Lee
- Taezoon Park
- Minsu Ock
- Hak-Jae Lee
- Jae-Ho Lee
Institutions
- Ulsan College (KR)
- Soongsil University (KR)
- Samsung (South Korea) (KR)
- Asan Medical Center (KR)
- University of Ulsan (KR)
- Ulsan University Hospital (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-12-24
- DOI
- https://doi.org/10.2196/86166
- Primary Topic
- Patient Safety and Medication Errors
- Type
- article
- Field-Weighted Citation Impact
- 0.00