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Study identifier: NCT06949462 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Effectiveness of Large Language Model for Anaesthesia and Procedural Consent

Condition: Consent Forms · Anesthesia · Artificial Intelligence (AI)  ·  Sponsor: Singapore General Hospital

PhaseNA
Planned participants120
Who can joinAll sexes, 21 Years to 99 Years
Healthy volunteersYes

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Yuhe Ke, MMED (ANES)  ·  +6581022852  ·  yuhe.ke36@gmail.com

Always discuss trial participation with your own doctor first.

Locations (2)

Singapore General HospitalSingapore, Singapore, SingaporeRecruiting
Singapore General HospitalSingapore, Singapore, SingaporeNot Yet Recruiting

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Source record: clinicaltrials.gov/study/NCT06949462