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Effectiveness of Large Language Model for Anaesthesia and Procedural Consent

Study acronym: PEAR
StatusRecruiting
PhaseNot applicable
Started
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Record History

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  1. Trial status: Not Yet Recruiting to Recruitingv3 Show 6 more changesShow less
    • Start date changed from estimate of Jul 1, 2025 to Jan 7, 2026
    • Primary endpoint revised
    • Study sites: 1 to 2
    • Primary completion date changed from estimate of Jul 1, 2026 to Apr 27, 2026
    • Study completion date: Jul 1, 2026 to Apr 27, 2026
    • Secondary endpoints: 2 to 5
  2. Eligibility criteria shortened, about 10 words
    • Site details revised
    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  • Stopped: an ongoing trial was terminated, suspended or withdrawn.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.
Patient understanding of anaesthesia risks remains inconsistent due to time constraints, language barriers, and variable clinician communication styles. Traditional verbal consent may not consistently ensure comprehension or reduce preoperative anxiety. PEAR (Patient Education of Anesthesia Risks) is a multilingual, AI-driven chatbot developed to enhance patient education and improve the quality of anaesthesia risk counselling. Study Objective: To compare PEAR's performance in delivering anaesthesia risk consent against the standard face-to-face verbal method.
Trial Details
NCT Number NCT06949462
Lead Sponsor Singapore General Hospital
Conditions
(from sponsor)		 Consent Forms, Anesthesia, Artificial Intelligence (AI)
Enrollment 120 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov