[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"cardiopulmonary-exercise-testing\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:cardiopulmonary-exercise-testing":28},{"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":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":29,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":37,"lastUpdatePostDateStruct":38,"startDateStruct":41,"completionDateStruct":43,"leadSponsor":45,"locationsCount":5},"100656904","physician-supervised-gpt-assistance-for-communicating-cardiopulmonary-exercise-test-results-100656904",false,"NCT07829731","Physician-Supervised GPT Assistance for Communicating Cardiopulmonary Exercise Test Results","A Randomized Crossover Study of Physician-Supervised GPT-Assisted Drafting for Communication of Cardiopulmonary Exercise Test Results","Inclusion Criteria:\n\n* Licensed physicians or institutionally recognized clinical trainees.\n* Able to read and write Chinese.\n* Experience in, or relevant training involving, cardiopulmonary exercise testing, cardiology, respiratory medicine, rehabilitation medicine, or related clinical interpretation within the previous 24 months.\n* Able to complete the computer-based study procedures.\n* Provision of written informed consent.\n\nExclusion Criteria:\n\n* Participation in the development of the study case bank, reference answers, scoring manual, or frozen GPT-generated drafts.\n* Previous exposure to any Phase 2 study case.\n* Inability to complete the study tasks independently using the study computer interface.\n* A direct financial conflict of interest related to the evaluated artificial intelligence system.\n* Withdrawal of consent before completion of the assigned study procedures.",true,"ALL","18 Years",{"count":20,"type":21},80,"ESTIMATED","INTERVENTIONAL",[24],"NA","Cardiopulmonary exercise testing requires clinicians to integrate multiple physiological measurements and explain their meaning, limitations, safety implications, and appropriate next steps. This randomized two-period crossover study will evaluate whether physician-supervised GPT-assisted drafting preserves the clinical acceptability of final patient-facing responses while reducing task completion time compared with physician-only drafting. Licensed physicians or institutionally recognized clinical trainees will respond in Chinese to 20 synthetic cardiopulmonary exercise testing scenarios. Each participant will complete 10 scenarios in each condition using two non-overlapping case sets. In the GPT-assisted condition, a frozen model-generated draft will be displayed and may be edited, deleted, or completely rewritten by the physician. The primary hypothesis is that GPT-assisted drafting is noninferior to physician-only drafting for clinical acceptability, using a noninferiority margin of 5 percentage points. Completion time will be evaluated for superiority only if noninferiority is established.",[27,28],"Clinical Decision Support Systems","Cardiopulmonary Exercise Testing",[30,31,28,32,33,34,35],"Large Language Models","Artificial Intelligence","Human-AI Collaboration","Physician-Computer Interaction","Clinical Communication","GPT-Assisted Drafting","NOT_YET_RECRUITING","2026-09-15",{"date":39,"type":40},"2026-09-21","ACTUAL",{"date":42,"type":21},"2026-09-23",{"date":44,"type":21},"2026-11-16",{"name":46,"class":47},"Shanghai Zhongshan Hospital","OTHER"]