Do AI-based early warning models improve patient outcomes in real-world clinical settings?
AI-based early warning models for clinical deterioration may positively impact patient outcomes, though clinician adherence remains a challenge.
The findings suggest that AI-based early warning models positively impact patient outcomes in real-world clinical settings. Despite the potential benefits, the effectiveness and real-world applicability of these models require further research. Challenges such as clinician adherence to AI warnings remain to be addressed.
Yuan et al. (2025) studied this question.