智能ICT MED,mHealth发展到基本疾病症状
Orawit Thinnukool1, Purida Vientong2, Krongkarn Sutham3
1Innovative Research and Computational Science Lab, College of Arts, Media and Technology, Chiang Mai University, Chiang Mai, Thailand.
mHealth
|February 13, 2025
概括
智能ICT MED应用程序使用户能够对54种疾病进行初步症状评估和自我监测,提高健康素养,减少泰国医疗保健负担.
科学领域:
- 数字健康数字健康
- 移动健康应用 移动健康应用
- 公共卫生信息学 公共卫生信息学
背景情况:
- 全球趋势是将信息技术纳入数字健康,以改善公共卫生服务.
- 持续面临的挑战包括医疗服务过度拥挤和公共卫生素养低,特别是在泰国.
- 过度依赖医疗保健提供者阻碍了自我护理能力,需要创新的解决方案.
研究的目的:
- 开发和评估智能ICT MED应用程序,一个移动健康解决方案.
- 通过初步症状评估和自我监测,赋予用户管理基本健康状况的权力.
- 为了减少医疗负担,促进健康素养,并支持高效的自我诊断.
主要方法:
- 开发智能ICT MED应用程序,使用54个症状组的数据,临床药物信息,医疗手册和专家见解.
- 整合用户反,以确保用户友好的设计,并满足特定的用户需求.
- 基于医疗专业人员的投入进行代原型设计,评估和改进.
主要成果:
- 该应用程序具有四个关键功能:初步症状评估,健康咨询,状态自我监测和医院定位服务.
- 尽管面临出版挑战,但该应用程序通过社交媒体到达全国87家医院,实现了6,694次下载.
- 在54个疾病群体中证明了实质性的用户参与和医学专家的验证.
结论:
- 智能ICT MED应用程序是通过医学专家验证的54种疾病组的可靠自我诊断工具.
- 该应用程序的用户友好型界面和全面的工具显示出具有显著积极公共卫生影响的潜力.
- 未来的努力应侧重于加强用户参与,整合专业咨询,并优化出版过程以实现更广泛的采用.
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