[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100638091":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":30,"centralContacts":35,"locations":26,"responsibleParty":41,"collaborators":26,"id":44,"slug":45,"hasResults":46,"nctId":47,"briefTitle":48,"officialTitle":49,"acronym":26,"eligibilityCriteria":50,"healthyVolunteers":46,"sex":51,"minAge":52,"maxAge":53,"enrollmentInfo":54,"targetDuration":26,"studyType":57,"phases":58,"briefSummary":60,"conditions":61,"keywords":64,"overallStatus":69,"whyStopped":26,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":26},{"fullName":5,"class":6},"University of Texas at Austin","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Intervention (LLM-simplified notes)","EXPERIMENTAL","Participants randomized to the intervention arm will review a plain-language summary generated from a curated version of their prior musculoskeletal clinic note using a large language model (LLM). All protected health information (PHI) and identifying information will be removed prior to LLM processing. The summary will be designed to simplify medical terminology and improve readability while maintaining the original clinical meaning of the note. The specific LLM used has not yet been finalized but will likely consist of the most current version of ChatGPT and\u002For Perplexity available through institutionally approved platforms at the time of the study. Participants will review the summary on an iPad prior to their clinic visit and complete questionnaires assessing trust, experience, and emotional responses.",[13],"Behavioral: LLM-Generated Medical Note",{"label":15,"type":16,"description":17,"interventionNames":18},"Control (Original medical note)","ACTIVE_COMPARATOR","Participants randomized to the control arm will review the original clinical note from their prior musculoskeletal clinic visit. The note will be presented in its original format without language simplification. Participants will review the note on an iPad prior to their clinic visit and complete questionnaires assessing trust, experience, and emotional responses.",[19],"Behavioral: Control (Original Medical Note)",[21,27],{"type":22,"name":23,"description":24,"armGroupLabels":25,"otherNames":26},"BEHAVIORAL","LLM-Generated Medical Note","The intervention consists of presenting participants with an LLM-generated plain-language summary of a prior musculoskeletal clinic note. The summary will be produced from a curated version of the original documentation after removal of all protected health information (PHI), macros, and administrative content. Physical therapy notes will be excluded, and normal examination or imaging findings may be simplified (e.g., \"Exam otherwise normal\"). The LLM will be instructed to preserve clinical meaning while reducing jargon and improving readability. The summary will be concise, neutral in tone, and written in patient-friendly language without adding new medical information or altering clinical recommendations. The specific LLM platform is not yet finalized but will likely use the most current version of ChatGPT and\u002For Perplexity available through institutional access.",[9],null,{"type":22,"name":28,"description":17,"armGroupLabels":29,"otherNames":26},"Control (Original Medical Note)",[15],[31],{"name":32,"affiliation":33,"role":34},"David Ring, MD, PhD","Dell Medical School, University of Texas at Austin, TX, United States","PRINCIPAL_INVESTIGATOR",[36],{"name":37,"role":38,"phone":39,"phoneExt":26,"email":40},"Emily H Jaarsma, MD","CONTACT","7472879601","emily.jaarsma@austin.utexas.edu",{"type":34,"investigatorFullName":42,"investigatorTitle":43,"investigatorAffiliation":5,"oldNameTitle":26,"oldOrganization":26},"David Ring","Associate Dean for Comprehensive Care; Professor and Associate Chair for Faculty Academic Affairs, Department of Surgery and Perioperative Care; Courtesy Professor of Psychiatry and Behavioral Sciences","100638091","original-medical-notes-versus-ai-plain-language-summaries-100638091",false,"NCT07602725","Original Medical Notes Versus AI Plain-Language Summaries","Patient Experience and Trust When Viewing Original Medical Notes Versus Large Language Model (LLM)-Generated Plain Language Summaries","Inclusion Criteria:\n\n* Adult (18-89)\n* Seeking outpatient musculoskeletal specialty care\n* English language literacy\n* Return patient to the clinic\n\nExclusion criteria:\n\n\\- Any impairment precluding completion of a survey on a tablet","ALL","18 Years","89 Years",{"count":55,"type":56},135,"ESTIMATED","INTERVENTIONAL",[59],"NA","The goal of this clinical trial is to learn how patients feel when reading their medical notes. The study compares reading the original doctor's note with reading a simpler, Artificial Intelligence (AI)-generated version written in plain language in adults receiving musculoskeletal specialty care.\n\nThe main questions the study aims to answer are:\n\n1. Does reading a plain-language summary change how patients feel about their doctor or their clinic experience?\n2. Does the type of note affect how comfortable, reassured, or worried patients feel?\n\nResearchers will compare patients who read their original clinic note with patients who read an Artificial Intelligence (AI)-generated plain-language summary to see whether simpler language changes patient understanding, trust, or emotional responses.\n\nParticipants will:\n\n* Read either their original clinic note or a plain-language summary of the note\n* Complete short questionnaires about their experience, emotions, and trust in their clinician\n* Optionally provide written comments about how it felt to read the information",[62,63],"Musculoskeletal Disease","Orthopedic Patients",[65,66,67,68],"Artificial intelligence","Musculoskeletal Care","Patient experience","Medical documentation","NOT_YET_RECRUITING","2026-05-18",{"date":72,"type":73},"2026-05-22","ACTUAL",{"date":75,"type":56},"2026-06-01",{"date":77,"type":56},"2027-02-01",{"name":5,"class":6}]