Testing a Speech-to-text Tool for Heart Failure Patient-Reported Data
试验速览
- 阶段
- 不适用
- 状态
- Enrolling By Invitation
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Accuracy of AI Voice Assistant Compared With Expert Extraction
研究概览
简要总结
The goal of this study is to see whether this type of Artificial Intelligence (AI) Voice Assistant can reliably capture patient-reported health information to support communication between patients and their healthcare team.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 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
- •Adults with heart failure receiving cardiology care at Stanford University
排除标准
- •Diminished decision-making capacity
- •Inability to understand and communicate in English sufficiently to complete study procedures
- •Inability to complete study procedures to the best of the participant's and investigator's knowledge
- •Any disorder or condition that, in the opinion of the investigator would pose a risk to participant safety or interfere with the study evaluation, procedures or completion
研究组 & 干预措施
AI Voice Assistant
Participants in the AI Voice Assistant arm will complete two activities: (1) an interaction with the AI Voice Assistant tool and (2) Paper survey that includes the same questions asked by AI voice assistant. Half of the participants will use the AI Voice Assistant first, while the other half will begin with the paper survey.
干预措施: Artificial intelligence speech-to-text tool (Other)
结局指标
主要结局
Accuracy of AI Voice Assistant Compared With Expert Extraction
时间窗: ~3 months
Agreement between AI-generated summaries and expert-reviewed responses (study staff extraction of participants' responses from audio recordings). The responses will be scored on a numerical scale, ranging from 0-17 points with higher points representing greater accuracy of the AI-generated summaries compared to expert-reviewed responses.
次要结局
- Kansas City Cardiomyopathy Questionnaire Scores(~3 months)
- Usability of AI Voice Assistant(~3 months)
- Agreement between AI Voice Assistant Compared With Patient Self-Reported Written Responses(~3 months)
- Qualitative Feedback(~3 months)
研究者
Alexander Sandhu
Assistant Professor of Medicine
Stanford University