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Effectiveness of Large Language Model for Anaesthesia and Procedural Consent
Sponsor: Singapore General Hospital
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.
Official title: Evaluating the Effectiveness of Large Language Models in Anaesthesia and Procedural Consent: A Comparative Analysis With Traditional Patient Consent Methods
Key Details
Gender
All
Age Range
21 Years - 99 Years
Study Type
INTERVENTIONAL
Enrollment
120
Start Date
2025-07-01
Completion Date
2026-07-01
Last Updated
2025-05-01
Healthy Volunteers
Yes
Interventions
PEAR
Participants in the intervention arm will receive anaesthesia risk counselling through the PEAR (Patient Education of Anaesthesia Risks) chatbot prior to their face-to-face consultation with an anaesthetist. PEAR is a multilingual, AI-powered conversational tool designed to provide personalized, interactive education on anaesthesia-related procedures, risks, and safety information. The chatbot delivers content aligned with institutional guidelines and allows patients to explore topics at their own pace, ask questions in natural language, and revisit information as needed. After completing the chatbot interaction, patients proceed with their standard preoperative consultation, where any further questions are addressed by the anaesthetist. This approach is designed to enhance patient understanding, reduce anxiety, and optimize the in-person consultation by preparing patients in advance.
Locations (1)
Singapore General Hospital
Singapore, Singapore, Singapore