[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100624179":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":11,"centralContacts":20,"locations":26,"responsibleParty":41,"collaborators":11,"id":45,"slug":46,"hasResults":47,"nctId":48,"briefTitle":49,"officialTitle":50,"acronym":51,"eligibilityCriteria":52,"healthyVolunteers":47,"sex":53,"minAge":54,"maxAge":11,"enrollmentInfo":55,"targetDuration":11,"studyType":58,"phases":59,"briefSummary":61,"conditions":62,"keywords":65,"overallStatus":73,"whyStopped":11,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":83},{"fullName":5,"class":6},"Erasmus Medical Center","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Cohort of 103 patients undergoing GE\u002Foncological surgery and admitted >2 days after surgery","EXPERIMENTAL",null,[13],"Device: DESIRE: AI-Based Clinical Decision Support for Postoperative Rehabilitation Planning",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":11},"DEVICE","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.\n\nThe system automatically extracts demographic, perioperative, vital sign, laboratory, and medication-related variables and generates a binary (yes\u002Fno) 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.",[9],[21],{"name":22,"role":23,"phone":24,"phoneExt":11,"email":25},"Denise Hilling, MD, PhD","CONTACT","+31 10 704 19 02","d.hilling@erasmusmc.nl",[27],{"facility":28,"status":11,"city":29,"state":11,"zip":11,"country":30,"countryCode":31,"cosmosGeoPoint":32,"geoPoint":37,"contacts":38},"Erasmus MC, University Medical Center Rotterdam","Rotterdam","Netherlands","NL",{"type":33,"coordinates":34},"Point",[35,36],4.47917,51.9225,{"lat":36,"lon":35},[39],{"name":40,"role":23,"phone":24,"phoneExt":11,"email":25},"Denise Hilling, MD PhD",{"type":42,"investigatorFullName":43,"investigatorTitle":44,"investigatorAffiliation":5,"oldNameTitle":11,"oldOrganization":11},"PRINCIPAL_INVESTIGATOR","D.E. Hilling","Surgeon and Data Scientist","100624179","clinical-evaluation-of-ai-decision-support-for-early-rehabilitation-after-surgery-100624179",false,"NCT07406269","Clinical Evaluation of AI Decision Support for Early Rehabilitation After Surgery","Evaluation of Clinical Effectiveness and Implementation of an Artificial Intelligence Based Decision Support Tool That Guides Early Rehabilitation After Gastrointestinal and Oncology Surgery","DESIRE","Inclusion Criteria:\n\n* Adults aged 18 years or older\n* Undergoing gastrointestinal or oncological surgery\n* Postoperatively admitted to the surgical ward\n* Expected to remain admitted for at least 2 days after surgery\n\nExclusion Criteria:\n\n* Admitted to the intensive care unit (ICU) at the time of prediction on postoperative day 2\n* Inability to provide informed consent in Dutch or English","ALL","18 Years",{"count":56,"type":57},103,"ESTIMATED","INTERVENTIONAL",[60],"NA","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.\n\nThis 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\u002Fno output to support clinicians in their decision-making.\n\nThe AI tool does not replace clinical judgment. Treating physicians remain fully responsible for all care decisions.\n\nThe 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.",[63,64],"Oncologic Surgery","Gastrointestinal Cancers",[66,67,68,69,70,71,72],"Artificial Intelligence","Clinical Decision Support System","Postoperative Care","Early Rehabilitation","Gastrointestinal Surgery","Oncological Surgery","Predictive Modeling","NOT_YET_RECRUITING","2026-02-06",{"date":76,"type":77},"2026-02-12","ACTUAL",{"date":79,"type":57},"2026-06-01",{"date":81,"type":57},"2027-07-01",{"name":5,"class":6},1]