NCT04246346

Effectiveness of Using Interactive Consulting System to Enhance Informed Choice

Effectiveness of Using Interactive Consulting System Based on Large Language Model to Enhance Informed Choice of Cataract Patients: a Non-inferiority Randomized Controlled Trial

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 660 (estimated)
• Sponsor: Sun Yat-sen University · Academic / Other
• Sex: All
• Age: 45 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

To compare the performance of an interactive chatbot versus senior ophthalmologists for enhancing informed decisions made by cataract patients. The chatbot was built based on large language models, and could generate medical expert-level responses.

Detailed description

Cataract surgery is the only way to treat age-related cataract. For patients at early or moderate stages, cataract surgery is an elective surgery without objective indications. Therefore the patients are uaually not aware whether they should receive the surgery. The number of trained and qualified ophthalmologists are limited in China and lots of patients cannot have detailed consultation with ophthalmologists. As a result, many patients still have doubts about whether they should receive cataract surgery or not. In this study, we aim to assess the effectiveness of an interactive chatbot based on large language models versus senior ophthalmologists to enhance informed decisions made by cataract patients.

Conditions

• Age-related Cataract

Interventions

Type	Name	Description
OTHER	An interactive chatbot for patient decision aid	A chatbot embedded into a mobile application which is able to bidirectionally interact with patients and provide standard general information, quantitative risk information on the possible outcomes of cataract surgery.
OTHER	Senior ophthalmologists	Senior ophthalmologists would communicate with patients and provide standard general information, quantitative risk information on the possible outcomes of cataract surgery.

Timeline

• Start date: 2023-09-01
• Primary completion: 2023-12-01
• Completion: 2023-12-31
• First posted: 2020-01-29
• Last updated: 2023-10-26

Locations

1 site across 1 country: China