Multimodal Radiology Report to Improve Patient-centered Radiology
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 200
- 主要终点
- Change in Patient Understanding of Radiology Report After AI-Generated Video Explanation
研究概览
简要总结
The goal of this study is to learn if AI-generated video explanations help people better understand their radiology reports. The main question it aims to answer is:
Do AI-generated videos help participants understand their medical imaging results better than written reports alone? Participants will send their own radiology images and written reports to the research team; receive a personalized AI-generated video that explains their results in easy-to-understand language; watch their video explanation (about 1-5 minutes long); and complete 15-minute online survey about how well the video helped them understand their results.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 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
- 是
入选标准
- •Age 18+ adults who have taken a radiology examination.
排除标准
- 未提供
结局指标
主要结局
Change in Patient Understanding of Radiology Report After AI-Generated Video Explanation
时间窗: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)
Change in patient-reported understanding score measured by the question "How would you rank your understanding of the radiology report?" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not at all) to 5 (Very well), where higher scores indicate better understanding. The primary outcome is calculated as the difference between post-video and pre-video understanding scores, with positive values indicating improved understanding.
Change in Patient Understanding of Radiology Images After AI-Generated Video Explanation
时间窗: Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)
Change in patient-reported understanding score measured by the question "How would you rank your understanding of the radiology image?" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not at all) to 5 (Very well), where higher scores indicate better understanding. The outcome is calculated as the difference between post-video and pre-video understanding scores, with positive values indicating improved understanding.
次要结局
- Change in Ability to Explain Radiology Findings to Family Members After AI-Generated Video Explanation(Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
- Change in Patient Confidence Discussing Radiology Results with Healthcare Provider After AI-Generated Video Explanation(Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
- Change in Patient Worry About Misunderstanding Radiology Findings After AI-Generated Video Explanation(Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
- Perceived Usefulness of AI-Generated Video Radiology Explanation(Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
- Perceived Ease of Use of AI-Generated Video Radiology Explanation(Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
- Patient Trust in AI-Generated Video Radiology Explanation(Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
- Patient Intention to Use AI-Generated Video Explanations for Future Radiology Reports(Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
- Patient Likelihood to Recommend AI-Generated Video Radiology Explanations(Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)RetryClaude can make mistakes. Please double-check responses.)
- Understanding of Finding Significance(Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
- Overall Patient Experience with AI-Generated Video Radiology Explanation(Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
- Change in Patient Knowledge of Body Part Described in Radiology Report After AI-Generated Video Explanation(Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video))
研究者
Pranav Rajpurkar
Associate Professor of Biomedical Informatics
Harvard Medical School (HMS and HSDM)