Human Doctors or AI: Evaluating Patient Satisfaction in Urinary Stone Disease Consultations
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 100
- 试验地点
- 2
- 主要终点
- Patient Satisfaction Score
研究概览
简要总结
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
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Newly diagnosed with urinary stone disease,
- •Aged 18 years or older,
- •Provided written informed consent to participate in the study.
排除标准
- •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.
结局指标
主要结局
Patient Satisfaction Score
时间窗: 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.
次要结局
- Consultation Duration(During consultation)
研究者
H. Alperen YILDIZ
Assistant Professor
Abant Izzet Baysal University