Patient Satisfaction
Conditions
Keywords
AI in healthcare, chatbot consultations, patient experience, urinary stone disease, digital medicine
Brief 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
Interventions
BEHAVIORALMedical 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
Abant Izzet Baysal University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Newly diagnosed with urinary stone disease, * Aged 18 years or older, * Provided written informed consent to participate in the study.
Exclusion criteria
* History of previous urinary stone disease, stone-related procedures, * Presence of other acute medical conditions unrelated to urinary stone disease, * Cognitive or communication impairments, * Pregnancy.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Patient Satisfaction Score | Within 1 hour after the consultation | Patient satisfaction will be measured using the validated Client Satisfaction Questionnaire (CSQ-8), which consists of 8 items scored on a 4-point Likert scale. The total score ranges from 8 to 32, with higher scores indicating greater satisfaction. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Consultation Duration | During consultation | Total duration (in minutes) of the consultation session (doctor or chatbot) will be recorded and compared across all groups. |
Countries
Turkey (Türkiye)
Outcome results
None listed