Effectiveness of a Large Language Model-Based Educational... | NCT07317661

Status Module

Oversight Module

Description Module

Brief Summary

Patients with cataracts disease need to choose what type of artificial lens will go into their eye prior to surgery date. Some lenses are standard and are usually covered by insurance. Other "premium" lenses have various benefits such as reducing the need for glasses but usually require out-of-pocket costs.

The combined busy outpatient clinic and complexity of artificial lens choices in the ever-changing world of cataract surgery tends to lead patients confused about their available lens options. There is an abundance of educational material present in premium lenses, however these are limited by accessibility and are standardized at single educational levels.

Therefore in the present study, we want to test whether giving patients a short LLM powered AI-guided explanation from Custom GPT from OpenAI of lens options prior to their consultation with their doctor can improve visit efficiency, physician explanation and patient understanding of lens options. We will compare two groups: standard of care versus standard of care plus AI education.

The LLM in this study is intended to provide supplemental information about premium intraocular lens(IOLs) options to study participants, and is no means supposed to replace a health care professional in the diagnosis, cure, treatment, and/or mitigation of disease. Study is analogous to giving a verified health pamphlet to a patient for them to view and learn different IOL options, in other words, facilitating patient understanding of their options.

The LLM will be trained by several health care professionals and MD specialists to provide sufficient instructions. Sources will include verified online resources and MD information.

The investigators hope to learn if a large language model-based educational tool can improve visit efficiency, physician explanation and patient understanding of intraocular lens options. New knowledge of this study could guide how cataract counseling is delivered in the future and may help clinics spend more time on individualized questions instead of repeating generic information.

Design Module

Interventional Study Design

Biospecimen

No data available

No data is available for this block.

Arms/Interventions Module

Arm Groups

Label	Type	Description	Intervention Names
LLM-based Education + Standard of Care	Experimental	Before seeing the fellow, the participant will listen to a short, structured LLM powered AI-delivered educational session with Custom GPT (10 minutes or less). The intractable AI script explains standard monofocal IOLs and premium options (toric, extended depth of focus, multifocal, light adjustable lens), including benefits, trade-offs, and out-of-pocket costs. The AI module may allow the patient to ask clarifying questions within scope of that script. This AI session is not currently part of standard care and is considered the experimental intervention. The participant takes a patient satisfaction (CSQ-8) after their clinical visit with the fellow and attending	Other: LLM-based Education
Standard of Care	No Intervention	The participant skips the AI module and proceeds directly to routine fellow and attending counseling, which reflects current standard of care practice. The participant takes a patient satisfaction (CSQ-8) after their clinical visit with the fellow and attending physician

Interventions

Name	Type	Description	Arm Group Labels	Other Names
LLM-based Education	Other	Participants will receive audio education powered by a large language model (LLM) before seeing the fellow or attending physician. The LLM will be presented using a 10 inch tablet or laptop device by a trained research team member. The interaction is intended to be self-guided, with no interference from the staff unless the LLM displays incorrect or "hallucinated" content. In such cases, the research staff will immediately correct any misinformation and record the occurrence, including details and frequency of the hallucination, for quality monitoring. The LLM module will deliver educational material about intraocular lens options and answer any questions the study participant has. This LLM-based education is for research purposes only. Afterward, participants will proceed to their scheduled visit.

Outcomes Module

Primary Outcomes

Measure	Description	Time Frame
Total Consultation Time	Total consultation time of both fellow and attending physician in their visit with the study participant will be recorded in minutes.	Same Day of Enrollment up to 2 hours

Secondary Outcomes

Measure	Description	Time Frame
Patient satisfaction scale score as measured by Client Satisfaction Questionnaire-8 (CSQ-8)	4-point ordinal Likert-type response options. The total CSQ 8 score will be used as a continuous outcome, with higher scores indicating greater satisfaction.	Same Day of Enrollment up to 2 hours
Percentage of Monofocal Lens Chosen as IOL of Choice Between Arms

Eligibility Module

ID	Term
D005128	Eye Diseases
D002386	Cataract