NCT07222644

Clinical Language Evaluation With AI for Residents

Clinical Language Evaluation With AI for Residents (CLEAR2) - A Pilot Randomized Controlled Trial

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 64 (estimated)
• Sponsor: The University of Texas Health Science Center, Houston · Academic / Other
• Sex: All
• Age: 18 Years – 50 Years
• Healthy volunteers: Accepted

Summary

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

Conditions

• Patient Communication

Interventions

Type	Name	Description
BEHAVIORAL	educational LLM-based feedback tool	Participants 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

Timeline

• Start date: 2025-10-23
• Primary completion: 2026-03-26
• Completion: 2026-05-28
• First posted: 2025-10-30
• Last updated: 2025-10-30

Locations

1 site across 1 country: United States