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The goal of this clinical trial is to learn about how Urogynecology patients use Artificial Intelligence (AI) Chatbots like ChatGPT, and how it affects healthcare decision making. The main question[s] it aims to answer are:
Researchers will compare using the Chatbot before the visit, after the visit, or not at all to see if the way participants understand the information changes based on timing of use.
Full description
Artificial Intelligence (AI) in medicine and the use of machine learning to improve patient care and outcomes is a quickly developing field. Interest is building in the use and accuracy of AI chatbot programs such as ChatGPT for patient diagnosis and counseling. A recent study of Chat GPT accuracy compared with patient pamphlets about pelvic organ prolapse found comparable accuracy and completeness.Given the novelty of this field, no current literature exists regarding the use of AI chatbot technology for patient care and patient counseling in Urogynecology.
This will be a single-center, prospective, randomized, non-blinded study examining patient use of AI Chatbot technology (Chat GPT4) at initial visits to supplement understanding of urogynecologic problems. The primary aim of this study is to investigate the effect of use of an AI Chatbot platform on patient understanding of disease processes and treatment options prior to or following a consult with a urogynecologist at the initial visit. The secondary aims are to evaluate the accuracy of the chatbot-provided diagnosis (for participants applicable through randomization) and counseling information, and to evaluate patient satisfaction with the visit.
This study will recruit patients with presenting problems of prolapse, lower urinary tract symptoms, or incontinence into one of three arms: use of an AI chatbot prior to seeing the urogynecologist, use of an AI chatbot following a consult with the urogynecologist, no use of an AI chatbot at the time of the visit. During time of their initial urogynecology visit, data will be collected including demographics, Pelvic Floor Disorders Inventory (PFDI) intake questionnaire data, health literacy, Chat GPT conversation, office consultation diagnoses/treatment, physician questionnaire, and post-consultation questionnaire (Diagnosis and Treatment, Decisional Conflict Scale, Patient Satisfaction, Chatbot Satisfaction). Patients will be asked three months after their visit to complete the post-consultation questionnaire again.
Enrollment
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Inclusion criteria
female
presenting for their initial evaluation by a urogynecology physician for one of the following:
greater than or equal to18 and less than or equal to89 years old
any race/ethnicity
able to read or speak English or Spanish
able/willing to consent to participate
Exclusion criteria
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125 participants in 3 patient groups
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Central trial contact
Elena Tunitsky-Bitton, MD; Nicole J Wood, MD
Data sourced from clinicaltrials.gov
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