Clinical Trial

Effectiveness of Large Language Model for Anaesthesia and Procedural Consent

Study acronym: PEAR
Recruiting
View on ClinicalTrials.gov →
Summary
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.
Protocol Amendment History 2 amendments
This ClinicalTrials.gov record has been amended 2 times since 2025-04-28; most recent amendment 2026-04-30.
Status change: Not Yet Recruiting → Recruiting 2026-04-30
Trial Details
NCT Number NCT06949462
Lead Sponsor Singapore General Hospital
Conditions Consent Forms, Anesthesia, Artificial Intelligence (AI)
Enrollment 120 participants
Start Date 2026-01-07
Primary Completion 2026-04-27 (estimated)
Study Completion 2026-04-27 (estimated)
Updated on ClinicalTrials.gov 2026-05-07