The Influence of Patient Use of Artificial Intelligence on Doctor-Patient Interaction and Clinical Outcomes in Endometriosis Consultations

Sponsor
Hadassah Medical Organization
Study ID
NCT07393568
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
FEMALE
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • using Chat gpt before outpatient clinic visit — OTHER
    This study involves a behavioral, non-randomized observational intervention based on patients' self-directed use of generative artificial intelligence (AI) tools prior to their clinical visit. The intervention group consists of patients who report using AI-based large language models (e.g., ChatGPT or similar tools) to prepare for their endometriosis-related consultation. AI use may include seeking information about symptoms, diagnosis, treatment options, prognosis, or formulating questions for the physician. No specific AI platform, prompts, or duration of use is mandated, and AI engagement occurs independently and outside the clinical setting. The control group includes patients who report no use of AI tools in preparation for the visit. No AI tools are introduced, recommended, or used during the clinical encounter by study personnel. Physicians are blinded to patient AI use status and conduct consultations according to standard clinical practice. Aside from questionnaire administ

Study Details

Generative artificial intelligence (AI), including large language models such as ChatGPT, Gemini, and Copilot, is increasingly used by patients to obtain medical information and prepare for clinical encounters. Although these tools often provide guideline-consistent information, their responses may be incomplete, inaccurate, or lack personalization, potentially influencing patient expectations and clinical interactions. The impact of patient AI use on satisfaction, adherence, and physician-patient communication remains poorly understood. This prospective comparative study will evaluate the effects of patient AI use prior to gynecologic consultations for endometriosis. Women attending a specialized endometriosis clinic will be categorized as AI users or non-users based on their preparation for the visit. Patient-reported outcomes, including satisfaction, expectations, adherence to physician recommendations, and pain during physical examination, will be assessed using validated questionnaires and visual analogue scales. Physicians, blinded to AI use, will independently assess patient engagement, trust, and compliance. Visit duration will also be recorded. The primary objective is to determine whether AI use affects patient satisfaction and adherence to treatment recommendations. Secondary objectives include evaluating physician-perceived interaction quality and concordance between AI-generated guidance and physician recommendations. Findings from this study will provide critical evidence on how AI influences patient behavior and clinical care in endometriosis, informing best practices for integrating AI-informed patients into routine clinical encounters.

Key Dates

First listed
Feb 6, 2026
Start date
Feb 1, 2026
Status verified
Jan 2026
Primary completion
Jan 1, 2027
Completion
Jan 1, 2027

Study Design

Enrollment
94 participants (estimated)

Arms

  • Arm: using Chat gpt before outpatient clinic visit
    using Chat gpt before outpatient clinic visit
  • Arm: Chat -gpt non users

Primary Outcome Measure

Patient Satisfaction and Treatment Plan Adherence After Consultation [ Time Frame: Immediately after the consultation (same day) ]

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