[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100643007":3},{"organization":4,"armGroups":7,"interventions":24,"overallOfficials":12,"centralContacts":12,"locations":12,"responsibleParty":33,"collaborators":12,"id":37,"slug":38,"hasResults":39,"nctId":40,"briefTitle":41,"officialTitle":42,"acronym":12,"eligibilityCriteria":43,"healthyVolunteers":39,"sex":44,"minAge":45,"maxAge":12,"enrollmentInfo":46,"targetDuration":12,"studyType":49,"phases":50,"briefSummary":52,"conditions":53,"keywords":12,"overallStatus":55,"whyStopped":12,"lastUpdateSubmitDate":56,"lastUpdatePostDateStruct":57,"startDateStruct":60,"completionDateStruct":62,"leadSponsor":64,"locationsCount":12},{"fullName":5,"class":6},"Tsinghua University","OTHER",[8,13,19],{"label":9,"type":10,"description":11,"interventionNames":12},"Standard Outpatient Care (No AI)","NO_INTERVENTION","Neither doctors nor patients use a large language model based tool. Outpatient consultations and documentation are conducted following routine clinical practice.",null,{"label":14,"type":15,"description":16,"interventionNames":17},"Outpatient Care With a Large Language Model Tool","EXPERIMENTAL","Before the consultation, patients complete an AI-based pre-consultation interaction. During the visit, a large language model based tool is available to support the outpatient consultation process. Doctors may refer to the tool during the visit.",[18],"Other: Large Language Model Based Tool",{"label":20,"type":15,"description":21,"interventionNames":22},"Outpatient Care With a Large Language Model Tool and Workflow Support","Before the consultation, patients complete an AI-based pre-consultation interaction. During the visit, a large language model based tool is used together with additional workflow support to integrate the tool's output into the outpatient consultation process.",[23],"Other: Workflow Support for Large Language Model Tool Integration",[25,29],{"type":6,"name":26,"description":27,"armGroupLabels":28,"otherNames":12},"Large Language Model Based Tool","A large language model based tool is introduced into the outpatient consultation workflow to support the consultation and documentation process.",[14],{"type":6,"name":30,"description":31,"armGroupLabels":32,"otherNames":12},"Workflow Support for Large Language Model Tool Integration","Additional workflow support is provided to integrate the output of the large language model based tool into the consultation process, approximating a more integrated deployment of the tool.",[20],{"type":34,"investigatorFullName":35,"investigatorTitle":36,"investigatorAffiliation":5,"oldNameTitle":12,"oldOrganization":12},"PRINCIPAL_INVESTIGATOR","Tien Yin Wong","Professor","100643007","a-large-language-model-in-outpatient-care-100643007",false,"NCT07641478","A Large Language Model in Outpatient Care","A Prospective Randomized Controlled Trial of a Large Language Model in Outpatient Care","Inclusion Criteria:\n\nDoctors:\n\n1. Licensed physicians providing outpatient consultations at a participating study hospital\n2. Expected to complete a sufficient number of outpatient clinic sessions during the study period\n3. Provides written informed consent\n\nPatients:\n\n1. Age 18 years or older\n2. Attending an outpatient consultation with a participating doctor\n3. Able to interact with the tool using an internet-connected device such as a smartphone\n4. Provides written informed consent\n\nExclusion Criteria:\n\nPatients:\n\n1. Psychiatric conditions, unstable vital signs, or other medical situations considered unsuitable for AI-based interaction\n2. Declines to provide informed consent","ALL","18 Years",{"count":47,"type":48},3500,"ESTIMATED","INTERVENTIONAL",[51],"NA","The goal of this clinical trial is to learn how the use of a large language model (LLM) based tool affects outpatient clinical care in adult patients attending general hospital outpatient clinics. The main questions it aims to answer are:\n\nDoes the use of an LLM-based tool affect the efficiency of outpatient visits? Does the use of an LLM-based tool affect the experience of doctors and patients during outpatient care?\n\nResearchers will compare outpatient visits supported by an LLM-based tool to standard outpatient visits without such a tool, to see whether and how the tool influences the care process and the experiences of doctors and patients.\n\nParticipants will:\n\nTake part in outpatient visits that may or may not involve an LLM-based tool, depending on their assigned group Complete a short questionnaire about their visit experience after the consultation",[54],"Outpatient Care","NOT_YET_RECRUITING","2026-06-07",{"date":58,"type":59},"2026-06-11","ACTUAL",{"date":61,"type":48},"2026-06-12",{"date":63,"type":48},"2026-09-04",{"name":5,"class":6}]