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Clinical Evaluation of AI Decision Support for Early Rehabilitation After Surgery
Sponsor: Erasmus Medical Center
Summary
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.
Official title: Evaluation of Clinical Effectiveness and Implementation of an Artificial Intelligence Based Decision Support Tool That Guides Early Rehabilitation After Gastrointestinal and Oncology Surgery
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
103
Start Date
2026-06-01
Completion Date
2027-07-01
Last Updated
2026-02-12
Healthy Volunteers
No
Interventions
DESIRE: AI-Based Clinical Decision Support for Postoperative Rehabilitation Planning
The intervention consists of the clinical use of a locked, non-adaptive artificial intelligence (AI)-based clinical decision support system (DESIRE) that analyzes routinely collected electronic health record data to predict, on postoperative day 2, the risk that a patient will require hospital-specific interventions after gastrointestinal or oncological surgery. The system automatically extracts demographic, perioperative, vital sign, laboratory, and medication-related variables and generates a binary (yes/no) output indicating whether the patient is likely to be at low risk for requiring additional hospital care. A predefined conservative threshold is used to identify patients eligible for early rehabilitation.
Locations (1)
Erasmus MC, University Medical Center Rotterdam
Rotterdam, Netherlands