数字信息学在精准预防,流行病学和临床遗传学研究中的应用,以推进精准医疗保健
Qiang He1, Patrick J Silva1, Marcia Ory1
1Texas A&M Health.
Yearbook of medical informatics
|April 8, 2025
概括
公共卫生信息学和精确流行病学利用数字工具预防疾病和治疗慢性疾病. 整合这些技术,包括人工智能和远程医疗,对于改善人口健康结果和减少健康差异至关重要.
科学领域:
- 公共卫生信息学 公共卫生信息学
- 精确的流行病学.
- 数字健康数字健康
背景情况:
- 医疗保健生态系统越来越受到公共卫生信息学和精确流行病学的影响.
- 数字信息学和精确方法为改善慢性疾病的监测和管理提供了巨大的潜力.
- 这些进展是提高人口健康结果的关键.
研究的目的:
- 总结最近在公共卫生信息学和精确流行病学方面的发展.
- 突出新技术和精确方法对慢性疾病管理的影响.
- 探索数字信息学如何改善人口健康.
主要方法:
- 一个叙事综述综合公共卫生信息学和精确流行病学的研究和实践.
- 使用谷歌学者的文献搜索,使用关键词,如"数字信息学"",预防的精确性"",精确流行病学"",公共卫生监测"和"临床基因组学".
- 引入临床基因组学注册表作为解决健康差异的案例研究.
主要成果:
- 远程医疗和数字工具等技术应用是识别和向风险人群的重要组成部分.
- 有必要评估数字平台的有效性和实用性,包括人工智能 (AI) 和预测分析.
- 基于精度的关键机会包括数字工具,公共卫生框架,远程医疗,数字双胞胎,临床遗传学注册表,生物标志物分析和移动健康.
结论:
- 成功实施需要在信息学和公共卫生方面熟练的劳动力.
- 精准医疗依赖于将数字患者数据与可穿戴设备,移动应用程序,远程医疗和人工智能驱动的分析集成.
- 整合公共卫生信息学,精确预防和流行病学,需要在法律和伦理边界内建立强大的人员,数据和工具系统,以加强公共卫生监测和疾病预防.
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