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NCT06949462: PEAR

Effectiveness of Large Language Model for Anaesthesia and Procedural Consent

Not yet recruiting NA Last updated 1 May 2025
What this trial tests

NA trial testing PEAR in Consent Forms in 120 participants. Not yet recruiting.

Timeline
1 July 2025
Primary endpoint
1 July 2026
1 July 2026

Quick facts

Lead sponsorSingapore General Hospital
PhaseNA
StatusNot yet recruiting
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingsingle
Primary purposeother
Enrollment120
Start date1 July 2025
Primary completion1 July 2026
Estimated completion1 July 2026
Sites1 location across Singapore

Drugs / interventions tested

Conditions studied

Sponsor

Singapore General Hospital

Who can join

Adults 21 to 99, any sex, with Consent Forms or Anesthesia. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Consent Forms

Currently open trials in the same condition.

Other Singapore General Hospital trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06949462.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing