[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100587055":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":18,"centralContacts":18,"locations":25,"responsibleParty":46,"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":28,"whyStopped":18,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":77},{"fullName":5,"class":6},"Tsinghua University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"AI Agent Doctor group","ACTIVE_COMPARATOR","Standardized simulated patients consult with AI Agent Doctor, providing AI-generated diagnoses and treatments for health care.",[13],"Device: AI model",{"label":15,"type":16,"description":17,"interventionNames":18},"Primary care physicians groups","NO_INTERVENTION","Standardized simulated patients consult with physicians, providing routine diagnoses and treatments as their usual standard health care.",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"DEVICE","AI model","The clinical intelligent AI system is equipped with an AI agent doctor, enabling patients to conduct self-consultations and receive care anytime and anywhere without the need for a real doctor.",[9],[26],{"facility":27,"status":28,"city":29,"state":30,"zip":31,"country":32,"countryCode":33,"cosmosGeoPoint":34,"geoPoint":39,"contacts":40},"Tiantongyuan North Community Healthcare Center","RECRUITING","Beijing","Beijing Municipality","102218","China","CN",{"type":35,"coordinates":36},"Point",[37,38],116.39723,39.9075,{"lat":38,"lon":37},[41],{"name":42,"role":43,"phone":44,"phoneExt":18,"email":45},"Professor","CONTACT","010-50985761","jzh23@mails.tsinghua.edu.cn",{"type":47,"investigatorFullName":48,"investigatorTitle":42,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Tien Yin Wong","100587055","clinical-intelligent-management-system---multilingual-exploration-100587055",false,"NCT06923410","Clinical Intelligent Management System - Multilingual Exploration","Multilingual Exploration of the Clinical Intelligent Management System Based on a Multimodal Foundation Model","Inclusion criteria for primary care physicians:\n\n* Fluent in the local languages spoken at each center.\n* With the general practice medical qualifications.\n* Agree to participate in the study and sign the informed consent form.\n\nInclusion criteria for simulated patient volunteers:\n\n* Age ≥ 18 years.\n* Fluent in the local languages spoken at each center.\n* Able to use electronic devices with intelligent systems.\n* Able to accurately express symptoms and participate throughout the process.\n* Agree to participate in the study and sign the informed consent form.\n\nExclision criteria: N\u002FA","ALL","18 Years","80 Years",{"count":60,"type":61},40,"ESTIMATED","INTERVENTIONAL",[64],"NA","This study aims to explore the diagnostic and therapeutic performance of a multimodal foundation model-based clinical intelligent management system in simulated outpatient scenarios. Specifically, it will compare the system's AI agent with general practitioners from different linguistic and cultural backgrounds worldwide, as well as various dialect and minority language regions in China.\n\nThe study will be conducted across multiple centers in diverse regions to comprehensively evaluate the system's adaptability. Using a prospective, single-blind design, each center will recruit primary care physicians.\n\nStandardized simulated patients across all centers will be trained based on the same set of standardized cases and then will consult with four real physicians and the AI agent, ensuring consistency.\n\nBy comparing diagnostic and treatment quality, patient satisfaction, and clinical outcomes, this study aims to explore the system's effectiveness in enhancing primary care and patient management across different regions and linguistic environments.",[67],"Primary Care Diseases","2025-05-13",{"date":70,"type":71},"2025-05-16","ACTUAL",{"date":73,"type":71},"2025-04-15",{"date":75,"type":61},"2025-07-31",{"name":5,"class":6},1]