Application of Artificial Intelligence to Construct Whole-person Precise Smart Medicine and Precise Health Care Program in Patients With Myasthenia Gravis
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 10
- 试验地点
- 1
- 主要终点
- Can the use of a mobile device [Disease Assistance Consultation] enhance the understanding of disease care and increase knowledge related to diseases in traditional Chinese medicine?
研究概览
简要总结
This study aims to propose an intelligent health robot that utilizes remote intelligent robots to assist patients with disease-related issues, enabling them to address their problems promptly.
详细描述
Utilizing an information architecture system, a voice-based artificial intelligence program will be developed. The symptoms of major diseases and related knowledge will be input into this system to construct a dedicated disease platform. This platform will allow patients to remotely access it, enabling them to promptly understand and address disease-related issues, thereby improving convenience for patients.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Device Feasibility
- 盲法
- None
入排标准
- 年龄范围
- 20 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients diagnosed with myasthenia gravis by a physician.
- •Age 20 years and above.
- •Able to use a smartphone.
排除标准
- •Individuals not diagnosed with myasthenia gravis.
- •Individuals who do not use smartphones or tablets.
- •Individuals who withdraw from the group midway.
- •Individuals unwilling to participate in interviews.
研究组 & 干预措施
Disease Group
In this study, patients with myasthenia gravis will be used as an example. After the patients use this disease inquiry platform, researchers will conduct interviews with them to understand their experiences and feedback.
干预措施: Mobile device.(phone) (Device)
结局指标
主要结局
Can the use of a mobile device [Disease Assistance Consultation] enhance the understanding of disease care and increase knowledge related to diseases in traditional Chinese medicine?
时间窗: 4 weeks
Each patient will be followed up after using the application system for 4 weeks. Each patient will be interviewed for 20 minutes, and the data will be compiled and written later.
次要结局
未报告次要终点
研究者
Yi Ting Yeh
Principal Investigator
National Taipei University of Nursing and Health Sciences