Human Doctors or AI: Evaluating Patient Satisfaction in Urinary Stone Disease Consultations
NCT07111845 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100
Last updated 2025-08-08
Summary
The goal of this observational study is to understand how satisfied patients are after getting medical advice about urinary stone disease from either a real doctor or an artificial intelligence (AI) chatbot. We want to learn whether people feel more satisfied with the information and support they get from human doctors or from AI tools like ChatGPT, Gemini, Perplexity, or Copilot.
The main questions it aims to answer are:
* Are patients more satisfied after consulting a real doctor or an AI chatbot?
* Does the time spent in the consultation affect satisfaction?
Researchers will compare doctor consultations with consultations from different AI chatbots to see if there are differences in patient satisfaction.
Participants will:
* Ask all their medical questions about urinary stones to one of the sources (a doctor or a specific AI chatbot)
* Fill out a short questionnaire (CSQ-8) to rate how satisfied they felt with the answers they received
Conditions
- Patient Satisfaction
Interventions
- BEHAVIORAL
-
Medical Consultation
Participants will be randomly assigned to receive medical consultation about urinary stone disease from one of five sources: a real urologist (in-person) or one of four AI chatbots (ChatGPT, Gemini, Perplexity, or Microsoft Copilot). Each participant will be instructed to ask all their questions related to urinary stone disease and continue the consultation until they feel adequately informed. The consultation format (human vs. AI) will depend on group assignment. After the session, participants will complete a validated satisfaction questionnaire (CSQ-8) to assess their experience.
Sponsors & Collaborators
-
Abant Izzet Baysal University
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-01-01
- Primary Completion
- 2025-05-20
- Completion
- 2025-05-30
Countries
- Turkey (Türkiye)
Study Locations
More Related Trials
-
Improving Patient Understanding of Their Prostate Cancer Diagnosis Using AI
NCT07040501 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Qualitative Research Among Physicians and Junior Doctors Into the Preconditions for Implementing a CDSS Based on AI in the ICU
NCT05303025 ·Status: COMPLETED
-
Effect of AI Chatbot-Assisted Versus Traditional Case-Based Learning on Clinical Reasoning in Occupational Therapy Students: A Study on Parkinson's Disease
NCT07045077 ·Status: COMPLETED ·Phase: NA
-
NLP-Based Feedback to Improve Risk Comms and Informed Shared Decision Making
NCT05923684 ·Status: RECRUITING ·Phase: NA
-
Learning Diagnostic Reasoning Through AI
NCT06754826 ·Status: COMPLETED ·Phase: NA
-
Evaluation of AI-Generated Clinical Advice by Physicians
NCT06980467 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Comparing Physician and Artificial Intelligence Chatbot Responses to Frequently Asked Questions From Osteoarthritis Patients
NCT07202286 ·Status: COMPLETED
-
Patient Perceived Empathy of an AI Chatbot for Atrial Fibrillation Education
NCT06684457 ·Status: COMPLETED ·Phase: NA
-
AI-generated Feedback in Social Robotic Virtual Patients
NCT07277829 ·Status: COMPLETED ·Phase: NA
-
Supporting Care Partners' Well-Being With Artificial Intelligence (AI) Chatbots
NCT07145723 ·Status: COMPLETED ·Phase: NA
-
RCT of NLP-Based Feedback for Improving SDM in Men With Localized Prostate Cancer
NCT06856694 ·Status: RECRUITING ·Phase: NA
-
Effectiveness of Using Interactive Consulting System to Enhance Informed Choice
NCT04246346 ·Status: RECRUITING ·Phase: NA
-
Comparing Artificial Intelligence and Physicians: A Vignette-Based Study in Pediatric Clinical Decision-Making
NCT07179861 ·Status: COMPLETED
-
Effectiveness of Using Interactive Consulting System to Enhance Decision Aids of COVID-19 Vaccination
NCT05087173 ·Status: UNKNOWN ·Phase: NA
-
Determining the Consistency Between Nurses and Artificial Intelligence (ChatGPT-5) in Delivering Scenario-Based Discharge Education to Coronary Artery Bypass Graft Patients: A Methodological Study
NCT07263724 ·Status: NOT_YET_RECRUITING
-
The Impact of Chatbot-aid on Promoting Self-management of Men's Health in the Post COVID-19 Era
NCT05765331 ·Status: UNKNOWN ·Phase: NA
-
Capabilities ofArtificial Intelligence Models in Externation Decision of Patient Who Followed in Intensive Care Unit ()
NCT06584890 ·Status: COMPLETED
-
Effectiveness of an Interactive Consulting System to Enhance Patients' Decision-making: A Randomized Controlled Trial
NCT04262596 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence Powered Mental Health Support Tool For Physicians In Training
NCT07087119 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Integrating Artificial Intelligence Into International Classification of Functioning, Disability, and Health Coding: Effectiveness of a Mobile Application for Patient Questionnaires
NCT07021781 ·Status: COMPLETED ·Phase: NA
-
AMIE's Clinical Conversational Abilities in an Urgent Care Setting
NCT06911398 ·Status: COMPLETED
-
Effectiveness of an Ai-based Endoscopic Ultrasound Navigation System in the Training of Endoscopic Ultrasonics
NCT05421520 ·Status: UNKNOWN ·Phase: NA
-
Evaluating AI-Generated Plain Language Summaries on Patient Comprehension of Ophthalmology Notes Among English-Speaking Patients
NCT06859216 ·Status: RECRUITING ·Phase: NA
-
Conversations in Health Literacy Using AI Technology for Osteoarthritis Patients
NCT06778486 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
Conversational AI Study
NCT06459479 ·Status: WITHDRAWN ·Phase: NA