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Testing an AI Large Language Model Tool for Cognitive Debiasing in Musculoskeletal Care

StatusActive, Not Recruiting
PhaseNot applicable
Started
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Record History

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  1. Trial status: Not Yet Recruiting to Active, Not Recruiting
    • Primary completion date changed from estimate of Dec 31, 2025 to Mar 15, 2026
    • Study completion date: Dec 31, 2025 to Jul 31, 2026
    • Site contact updated
    v3
  2. Secondary endpoints: details revised at 1 of 1 entry
    • Study title shortened, about 2 words
    v2
  3. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
The goal of this clinical trial is to find out whether using an artificial intelligence (AI) tool called a Large Language Model (LLM) can help patients think more clearly about their symptoms and improve their trust and experience during a visit to a musculoskeletal specialist. The study will answer two main questions: 1. Does an LLM-guided checklist that encourages patients to reflect on their beliefs about their symptoms improve their trust in the clinician (measured using the TRECS-7 scale)? 2. Does the checklist improve how patients feel about their consultation overall? Participants will be randomly assigned to one of two groups: * One group will receive an LLM-guided checklist that helps them think more flexibly about their condition. * The other group will receive an LLM-generated likely diagnosis and brief explanation of their symptoms. In both groups, the information from the AI tool will be shared with both the patient and the clinician before the consultation. Patients in the debiasing (intervention) group will: * Complete a short set of questions with help from a researcher * Receive a simple summary from the AI that reflects their beliefs and gently challenges any unhelpful thinking * Attend their regular specialist appointment * Complete a short survey afterwards capturing their thoughts, experience and basic demographics Patients in the diagnosis-only (control) group will: * Describe their symptoms to the AI LLM * Receive a likely diagnosis and short explanation based on this description * Attend their regular specialist appointment * Complete a short survey afterwards capturing their thoughts, experience and basic demographics
Trial Details
NCT Number NCT07022769
Lead Sponsor University of Texas at Austin
Conditions
(from sponsor)		 Any Chronic, Non-traumatic Orthopedic Condition
Related terms Musculoskeletal Diseases
Enrollment 150 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov