Does an automated machine learning model accurately predict postoperative in-hospital mortality when implemented in real-time clinical practice?
Real-time implementation of a random forest machine learning model for predicting postoperative mortality in the EHR is feasible and shows acceptable real-world performance.
This prospective validation and EHR implementation of a previously published random forest machine learning model predicting postoperative in-hospital mortality demonstrated acceptable real-world performance of the implemented model and feasibility of integrating such a system into clinical practice.
Wingert et al. (2026) studied this question.