[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100649858":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":18,"centralContacts":25,"locations":31,"responsibleParty":47,"collaborators":18,"id":49,"slug":50,"hasResults":51,"nctId":52,"briefTitle":53,"officialTitle":54,"acronym":18,"eligibilityCriteria":55,"healthyVolunteers":51,"sex":56,"minAge":57,"maxAge":58,"enrollmentInfo":59,"targetDuration":18,"studyType":62,"phases":63,"briefSummary":65,"conditions":66,"keywords":18,"overallStatus":71,"whyStopped":18,"lastUpdateSubmitDate":72,"lastUpdatePostDateStruct":73,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":81},{"fullName":5,"class":6},"Jiangsu Taizhou People's Hospital","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"LLM-Assisted Intervention Group","ACTIVE_COMPARATOR","Primary care doctors creating management plans for chronic diseases (coronary heart disease, atrial fibrillation, heart failure, stroke) with the help of large medical language models",[13],"Device: Medical large language model",{"label":15,"type":16,"description":17,"interventionNames":18},"Usual Care Control Group","NO_INTERVENTION","Primary care doctors creating management plans for chronic diseases (coronary heart disease, atrial fibrillation, heart failure, stroke) without the help of a large medical language model",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"DEVICE","Medical large language model","The primary care physicians in the intervention group completed the management decisions for chronic disease cases, including disease assessment, examination suggestions, treatment plans, selection of management methods, and health education, with the assistance of the medical LLM.",[9],[26],{"name":27,"role":28,"phone":29,"phoneExt":18,"email":30},"Guoyu Wang, MD","CONTACT","+8615951154720","wangguoyutzheart@163.com",[32],{"facility":33,"status":18,"city":34,"state":35,"zip":36,"country":37,"countryCode":38,"cosmosGeoPoint":39,"geoPoint":44,"contacts":45},"The Affiliated Taizhou People's Hospital of Nanjing Medical University","Taizhou","Jiangsu","225300","China","CN",{"type":40,"coordinates":41},"Point",[42,43],119.90812,32.49069,{"lat":43,"lon":42},[46],{"name":27,"role":28,"phone":29,"phoneExt":18,"email":30},{"type":48,"investigatorFullName":18,"investigatorTitle":18,"investigatorAffiliation":18,"oldNameTitle":18,"oldOrganization":18},"SPONSOR","100649858","medical-large-language-model-assisted-diagnosis-and-treatment-in-primary-care-chronic-disease-management-100649858",false,"NCT07740044","Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Management","Verification and Application Study of Medical Large Language Model-Assisted Diagnosis and Treatment in Primary Care Chronic Disease Management: A Randomized Controlled Study","Inclusion Criteria:\n\n1. Work experience of 3 years or more;\n2. Able to complete the case assessment tasks required by the study;\n3. Have a practicing doctor qualification;\n4. Work at a township health center or community health service center;\n5. Voluntarily participate in the study and sign the informed consent form.\n\nExclusion Criteria:\n\nN\u002FA","ALL","18 Years","65 Years",{"count":60,"type":61},20,"ESTIMATED","INTERVENTIONAL",[64],"NA","This study aims to explore the feasibility of using medical large language models to assist in chronic disease management. By setting up experimental and control group interventions and having experts blindly evaluate anonymized cases, it compares different management approaches in chronic disease care, verifying the scientific basis, effectiveness, and potential for broader use of medical large language models in supporting chronic disease management.",[67,68,69,70],"Coronary Artery Disease","Atrial Fibrillation (AF)","Heart Failure","Stroke","NOT_YET_RECRUITING","2026-07-27",{"date":74,"type":75},"2026-07-31","ACTUAL",{"date":77,"type":61},"2026-08-17",{"date":79,"type":61},"2026-11-30",{"name":5,"class":6},1]