Evaluation of AI-Enhanced Symptom Summarization in Weekly Radiotherapy Consultations: A Comparative Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 200
- 试验地点
- 1
- 主要终点
- The Physician Documentation Quality Instrument-9 (PDQI-9)
研究概览
简要总结
The study investigates the use of artificial intelligence (AI) and large language models (LLMs) to enhance the efficiency and accuracy of weekly treatment consultations (OTVs) in radiotherapy. It hypothesizes that an AI-enabled symptom summary tool will match traditional medical review methods in accuracy while saving time. The study includes patients undergoing pelvic radiotherapy and excludes those with pelvic reirradiation or who have undergone surgery. Patients will receive both standard and AI-assisted weekly consultations, with AI summaries generated using the OpenAI GPT-4 API. Blinded oncologists will compare the accuracy and quality of the AI-generated and doctor-generated summaries, while patients and doctors will rate these summaries. The primary objective is to evaluate the accuracy and time efficiency of AI-assisted symptom summaries compared to traditional methods.
详细描述
This clinical trial is a comparative study designed to evaluate the accuracy and time efficiency of an AI-enabled symptom summary tool in comparison to traditional medical review methods in patients undergoing radiotherapy in the pelvic region.
Hypothesis:
The AI-enabled symptom summary tool is hypothesized to be non-inferior in accuracy to traditional medical review methods and to save time in the process.
Primary Outcome:
Accuracy of Documentation: The quality of the documentation will be evaluated using the Physician Documentation Quality Instrument-9 (PDQI-9), a validated questionnaire that assesses nine key elements of documentation quality: completeness, correctness, consistency, comprehensibility, relevance, organization, conciseness, formatting, and overall impression. Blinded specialist doctors will use the PDQI-9 to evaluate both AI-generated and traditional summaries, assigning scores from 1 to 10.
研究设计
- 研究类型
- Interventional
- 分配方式
- Non Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 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
- •All patients undergoing radiotherapy in the pelvic region.
排除标准
- •Cases of pelvic reirradiation or operated cases.
研究组 & 干预措施
AI-assisted symptom intake
干预措施: Generative Artificial Intelligence (Other)
Standard weekly symptom assessment by physicians
干预措施: Standard weekly symptom intake (Other)
结局指标
主要结局
The Physician Documentation Quality Instrument-9 (PDQI-9)
时间窗: 2 months
The Physician Documentation Quality Instrument-9 (PDQI-9) will be used to evaluate the quality of the documentation. The PDQI-9 is a validated questionnaire that assesses nine key elements of documentation quality: completeness, correctness, consistency, comprehensibility, relevance, organization, conciseness, formatting, and overall impression.
次要结局
- Time tracking(2 months)
- Accuracy(2 months)
- Physician satisfaction(2 months)
- Patient satisfaction(2 months)