After gastrointestinal or oncology surgery, it can be difficult to determine when a patient is ready to safely begin early rehabilitation or move toward discharge. Delays may prolong hospital stay, while premature decisions may increase risks. This study evaluates an artificial intelligence (AI)-based decision support tool that analyzes routinely collected hospital data to identify patients who are likely ready for early rehabilitation and discharge planning after surgery. The tool provides a simple yes/no output to support clinicians in their decision-making. The AI tool does not replace clinical judgment. Treating physicians remain fully responsible for all care decisions. The purpose of this study is to examine how well this tool performs in clinical practice and how it can be safely and effectively implemented to support postoperative care.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Proportion of patients requiring unplanned escalation of hospital-specific care within 30 days after early transfer to rehabilitation area.
Timeframe: From postoperative day 2 (time of AI prediction and potential transfer to rehabilitation area) through 30 days after surgery