LLM-Based Education for Cataract Surgery
What You Need to Know Before You Apply
What is the purpose of this trial?
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.
Who Is on the Research Team?
Robert T Chang, MD
Principal Investigator
Stanford University
Are You a Good Fit for This Trial?
This trial is for patients with cataracts who need to choose an artificial lens before surgery. It's open to those who want additional information on their lens options, including the benefits of premium lenses that may cost extra.Inclusion Criteria
What Are the Treatments Tested in This Trial?
Trial Overview
The study tests if a Large Language Model (LLM)-based educational tool can help patients understand their intraocular lens choices better compared to standard care alone. Patients will be divided into two groups: one receiving usual pre-surgery info and the other also getting AI-powered education.
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
Active Control
* 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
* 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
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Who Is Running the Clinical Trial?
Stanford University
Lead Sponsor
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