[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"hospital-acquired-infections\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:hospital-acquired-infections":26},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":4,"overallStatus":27,"whyStopped":4,"lastUpdateSubmitDate":28,"lastUpdatePostDateStruct":29,"startDateStruct":32,"completionDateStruct":34,"leadSponsor":36,"locationsCount":39},"100576906","ai-driven-prediction-of-hospital-acquired-infections-with-ehr-100576906",false,"NCT06791382","AI-Driven Prediction of Hospital-Acquired Infections With EHR","Predicting Hospital-Acquired Infections Using Electronic Health Records: An AI-Assisted Approach","Inclusion Criteria:\n\n1. Patients with complete and accessible EHR data, including medical history, laboratory test results, treatment regimens, clinical observations, and infection history.\n2. Patients who have been admitted to the participating hospital or healthcare facility during the study period.\n3. All participants must provide informed consent to use their health data for research purposes.\n\nExclusion Criteria:\n\n1. Patients with incomplete or missing critical EHR data, such as lab results, medical history, or treatment details, which are necessary for infection prediction.\n2. Patients who have severe cognitive disorders, dementia, or conditions that prevent them from providing informed consent or participating in the study.\n3. Patients who have not been admitted to the hospital during the study period or who are receiving outpatient care only.\n4. Patients with terminal conditions where infection prediction may not be applicable to the clinical goals of the study.",true,"ALL","0 Years","90 Years",{"count":21,"type":22},1000000,"ESTIMATED","OBSERVATIONAL","This is a multi-center, clinical study designed to evaluate the application and effectiveness of an AI-assisted predictive model for identifying and diagnosing infection, leveraging multimodal health data.",[26],"Hospital-acquired Infections","RECRUITING","2025-04-16",{"date":30,"type":31},"2025-04-17","ACTUAL",{"date":33,"type":31},"2023-02-01",{"date":35,"type":22},"2025-05",{"name":37,"class":38},"The Eye Hospital of Wenzhou Medical University","OTHER",2]