[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"outpatient-clinical-encounter\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:outpatient-clinical-encounter":27},{"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":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":28,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":40,"lastUpdatePostDateStruct":41,"startDateStruct":44,"completionDateStruct":46,"leadSponsor":48,"locationsCount":5},"100659058","augmenting-clinical-workflow-with-a-structured-chatbot-for-patient-history-collection-and-diagnostic-support-100659058",false,"NCT07860762","Augmenting Clinical Workflow With a Structured Chatbot for Patient History Collection and Diagnostic Support","Prospective Observational Evaluation of a Structured, Agentic AI Chatbot for Pre-Visit Patient History Collection and Diagnostic Support in Outpatient Clinical Workflows","CHAT-HX","Inclusion Criteria:\n\nWomen 18 years or older\n\nFirst presentation or new complaint at the gynecology outpatient clinic (self-presentation, emergency, or referral)\n\nSufficient German language skills to complete a structured patient interview independently\n\nAble to complete study participation without external support\n\nWritten informed consent\n\nExclusion Criteria:\n\nAcute emergency requiring immediate treatment (for example, impaired consciousness, hemodynamic instability, or acute bleeding requiring immediate care)\n\nLack of legal or decisional capacity to consent\n\nInsufficient language skills\n\nSevere cognitive, visual, or motor impairment preventing tablet use\n\nPrevious participation in this study\n\nRefusal or withdrawal of consent","FEMALE","18 Years",{"count":20,"type":21},100,"ESTIMATED","OBSERVATIONAL","Doctors spend much of each visit collecting the patient's medical history, and incomplete histories can delay diagnosis. This study tests an AI chatbot that interviews patients before their appointment and produces a structured summary of their history for the doctor. Adult patients at the first study site, a university gynecology outpatient clinic in Germany, answer the chatbot's questions on a tablet before the doctor visit. The doctor then takes the history and examines the patient as usual, without seeing the chatbot's output. Only after the doctor has finished planning care does the doctor review the chatbot's summary and rate its usefulness and accuracy. The chatbot does not change patient care. Patients also rate the ease of use and acceptability of the chatbot. The investigators will report how useful doctors find the summaries, how complete and correct the summaries are, and how patients experience the tool.",[25,26,27],"Medical History Taking","Artificial Intelligence in Clinical Workflow","Outpatient Clinical Encounter",[29,30,31,32,33,34,35,36,37,38],"Large language model","Agentic AI","Chatbot","Patient History Collection","Pre-visit intake","Clinical decision support","Diagnostic support","Usability","Structured Interview","Digital Health","NOT_YET_RECRUITING","2026-10-05",{"date":42,"type":43},"2026-10-07","ACTUAL",{"date":45,"type":21},"2026-10-02",{"date":47,"type":21},"2027-10-01",{"name":49,"class":50},"Massachusetts General Hospital","OTHER"]