Clinical Language Evaluation With AI for Residents
Part of paid clinical trials in Houston, Texas.
- Sponsor
- The University of Texas Health Science Center, Houston
- Study ID
- NCT07222644
- Status
- Not Yet Recruiting
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Conditions
- Patient Communication
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - 50 Years
- Healthy Volunteers
- Accepted
Interventions
- educational LLM-based feedback tool — BEHAVIORALParticipants will have their verbal communications with standardized patients (SP) regarding 3 different scenarios recorded, transcribed, and analyzed in real-time by the large language model (LLM) and will receive feedback as suggestions and alternative scripts. These will be reviewed by residents between SP scenarios
Study Details
The purpose of this study is to refine and test existing enterprise-grade large language model (LLM) based on generative artificial intelligence (AI), to assess the feasibility and acceptability of LLM-based feedback, to assess the ability of LLM-based feedback to improve residents' communications,to explore the ability of standardized patients to assess residents' communication and to explore the ability of residents to self-assess their communication complexity
Key Dates
- Start date
- Oct 23, 2025
- Status verified
- Oct 2025
- Primary completion
- Mar 26, 2026
- Completion
- May 28, 2026
Study Design
- Enrollment
- 64 participants (estimated)
- Allocation
- RANDOMIZED
- Intervention model
- PARALLEL
- Primary purpose
- OTHER
Arms
- Experimental: Educational LLM-based feedback tool
- No Intervention: Control
Primary Outcome Measure
Readability discernment as assessed by a survey [ Time Frame: end of intervention ( 1 hour after baseline) ]
Central Contacts
- Krislynn M Mueck, MD, MS, MPH(713) 500-7409
- William D Rieger(713) 500-7300
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| The University of Texas Health Science Center at Houston | Houston | Texas | 77030 |