Effectiveness of Large Language Model for Anaesthesia and Procedural Consent

Recruiting now · Not applicable

Conditions studied: Consent Forms, Anesthesia, Artificial Intelligence (AI)

In brief

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.

Key facts

Study ID: NCT06949462
Run by: Singapore General Hospital
People needed: 120
Starts: 2026-01-07
Expected to finish: 2026-04-27
Last updated by the study team: 2026-05-07

Who can join

Age: 21 and older, up to 99. Sex: any. Healthy volunteers: accepted.

You may qualify if…

Adults (≥21 years old) undergoing elective surgery requiring anaesthesia
Classified as ASA Physical Status I to III
Able to provide informed consent
Able to communicate effectively in English, Chinese (Mandarin), Malay, or Tamil
Willing and able to complete questionnaires and interact with the PEAR chatbot (intervention arm)

You may not qualify if…

ASA Physical Status IV or above
Cognitive impairment or psychiatric conditions that may limit comprehension or communication
Non-literate patients or those unable to understand English, Chinese, Malay, or Tamil
Emergency surgery cases
Prior participation in the study (to prevent bias)

Where it is running

Singapore General Hospital — Singapore, Singapore, Singapore (enrolling)
Singapore General Hospital — Singapore, Singapore, Singapore

Full record on ClinicalTrials.gov

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