Cataract and IOL Surgery, Cataract Extraction, Cataract Surgery, Cataract Surgery Experience, Eye Disorders, Intraocular Lens
Conditions
Keywords
LLM, AI, GPT, ChatGPT, Custom GPT, CustomGPT, education, LLM-based education
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.
Interventions
OTHERLLM-based Education
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.
Sponsors
Stanford University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Caregiver)
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Age 18 or older * Presenting for cataract evaluation or preoperative cataract counseling in the ophthalmology clinic * Able to provide informed consent * English-speaking * No prior cataract surgery in either eye (so that all patients are making a first-eye IOL decision)
Exclusion criteria
* Any cognitive impairment or hearing impairment that prevents meaningful counseling or survey completion * Urgent ocular condition requiring immediate attention that would override routine cataract counseling (for example, acute retinal detachment) * Patient declines or is unable to complete the brief post-visit survey * Has ocular conditions that would impact eligibility of non-monofocal lens options
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Total Consultation Time | Same Day of Enrollment up to 2 hours | Total consultation time of both fellow and attending physician in their visit with the study participant will be recorded in minutes. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Patient satisfaction scale score as measured by Client Satisfaction Questionnaire-8 (CSQ-8) | Same Day of Enrollment up to 2 hours | 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. |
| Percentage of Monofocal Lens Chosen as IOL of Choice Between Arms | Up to 4 weeks post enrollment | The intraocular lens chosen on day of surgery, grouped as monofocal or non-monofocal, will be documented post-surgery implantation. |
Countries
United States
Outcome results
None listed