Singapore General Hospital
key U and
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.
Consent Forms
Anesthesia
Artificial Intelligence (AI)
PEAR
NA
This study evaluates the effectiveness of PEAR (Patient Education of Anaesthesia Risks), a conversational AI-based chatbot designed to deliver anaesthesia risk education to patients in a personalized, interactive, and multilingual format. The goal is to support informed consent by improving patient comprehension, satisfaction, and reducing anxiety, while also streamlining clinician workflow. Participants undergoing elective surgery will be randomly assigned to either receive anaesthesia counselling via PEAR before their consultation with the anaesthetist (intervention group) or undergo the standard face-to-face verbal consent process (control group). The PEAR chatbot is accessed through a secure digital interface and presents information aligned with institutional anaesthesia protocols. The study will be conducted at hospitals within the SingHealth cluster in Singapore. Following the consent process, patients will complete a short quiz to assess understanding, a survey to evaluate satisfaction, and an anxiety scale. Clinicians will record time taken and perceived workload. All patients will still meet their anaesthetist, ensuring clinical oversight is maintained. This study does not alter standard care but evaluates a digital adjunct to enhance it. Data will be collected electronically, anonymised, and stored securely. Insights from this trial may inform the wider implementation of digital tools in perioperative patient education.
| Study Type : | INTERVENTIONAL |
| Estimated Enrollment : | 120 participants |
| Masking : | SINGLE |
| Masking Description : | There will be no blinding of the participants and investigators due to the impracticality. The outcome assessor will be blinded. |
| Primary Purpose : | OTHER |
| Official Title : | Evaluating the Effectiveness of Large Language Models in Anaesthesia and Procedural Consent: A Comparative Analysis With Traditional Patient Consent Methods |
| Actual Study Start Date : | 2025-07-01 |
| Estimated Primary Completion Date : | 2026-07-01 |
| Estimated Study Completion Date : | 2026-07-01 |
Information not available for Arms and Intervention/treatment
| Ages Eligible for Study: | 21 Years to 99 Years |
| Sexes Eligible for Study: | ALL |
| Accepts Healthy Volunteers: | 1 |
Want to participate in this study, select a site at your convenience, send yourself email to get contact details and prescreening steps.
Not yet recruiting
Singapore General Hospital
Singapore, Singapore, 751126