数字信息学在精准预防、流行病学和临床基因组学研究中的应用,以推进精准医疗。

Yearbook of medical informatics Pub Date : 2024-08-01 Epub Date: 2025-04-08 DOI:10.1055/s-0044-1800753
Qiang He, Patrick J Silva, Marcia Ory, Ni Wang, Kenneth S Ramos
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引用次数: 0

摘要

目的:总结影响卫生保健生态系统的公共卫生信息学和精确流行病学的最新发展。新技术和精确方法在慢性病监测和管理方面的影响被强调为临床实践领域,数字信息学可以显着改善人群健康。方法:在这篇叙述性综述中,我们总结了研究和实践的主要主题,以确定疾病预防和公共卫生趋势。使用谷歌Scholar搜索有关公共卫生信息学和精确流行病学的出版物,使用以下关键词:“数字信息学”、“精确预防”、“精确流行病学”、“公共卫生监测”、“临床基因组学”及其组合。此外,我们介绍了临床基因组学注册的原则,作为一个案例研究,以赋予代表性不足的社区权力,并减少健康差距。结果:远程保健和数字信息工具等技术应用经常与公共卫生信息学和精确流行病学相互交织,以确定和定位有疾病风险的个人和人群。迫切需要对包括人工智能(AI)和预测分析在内的数字平台的有效性和实用性进行更多的调查和评估,以推进精准预防和流行病学。确定的基于精准的主要机会包括:(1)数字工具的利用,(2)公共卫生战略框架,(3)远程保健/远程监测工具,(4)模拟和优化护理模式的数字双胞胎,(5)临床基因组学登记,(6)生物标志物分析和组学小组,以及(7)移动医疗。结论:精确预防和流行病学举措的成功实施需要培养精通信息学和公共卫生的研究人员和从业人员队伍。精准医疗方法的积极影响取决于将数字患者信息与可穿戴设备、移动应用程序、远程医疗和使用人工智能的数字分析连接起来的解决方案和技术。成功整合公共卫生信息学、精准预防和流行病学所需的重要组成部分是人员、数据和工具系统,尽管这些都受到法律和道德的限制。总之,这些应用可以显著提高公共卫生监测的可操作性和维护健康和预防疾病的社会趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Digital Informatics in Precision Prevention, Epidemiology, and Clinicogenomics Research to Advance Precision Healthcare.

Objectives: To summarize recent public health informatics and precision epidemiology developments impacting the healthcare ecosystem. The influence of new technologies and precision approaches in surveillance and management of chronic diseases is high-lighted as areas of clinical practice where digital informatics can markedly improve pop-ulation health.

Methods: In this narrative review, we summarized the main themes from research and practice to define disease prevention and public health trends. Publications on public health informatics and precision epidemiology were searched using Google Scholar us-ing the following keywords: "digital informatics", "precision in prevention", "precision epi-demiology", "public health surveillance", "clinicogenomics" and combinations thereof. In addition, we introduced the principles of a clinicogenomics registry as a case study to empower underrepresented communities and to reduce health disparities.

Results: Technology applications such as telehealth and digital information tools fre-quently intertwine with public health informatics and precision epidemiology in efforts to identify and target individuals and populations at risk of disease. There is an urgent need for more investigations and evaluation of the validity and utility of digital platforms, including artificial intelligence (AI) and predictive analytics to advance precision preven-tion and epidemiology. The major precision-based opportunities identified included: (1) the utilization of digital tools, (2) a public health strategic framework, (3) tele-health/telemonitoring tools, (4) digital twins to simulate and optimize care models, (5) clinicogenomics registries, (6) biomarker analyses and omics panels, and (7) mobile health.

Conclusions: Successful implementation of precision prevention and epidemiology ini-tiatives requires development of a researcher and practitioner workforce that is well-versed in informatics and public health. The positive impact of precision healthcare ap-proaches depends on solutions and technologies that connect digital patient information with wearable devices, mobile apps, telehealth, and digital analytics using AI. The vital components required to successfully integrate public health informatics, precision pre-vention and epidemiology are people, data, and tool systems, albeit within legal and ethical constraints. Together, these applications can significantly improve actionability of public health surveillance and societal trends in the preservation of health and disease prevention.

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来源期刊
Yearbook of medical informatics
Yearbook of medical informatics Medicine-Medicine (all)
CiteScore
4.10
自引率
0.00%
发文量
20
期刊介绍: Published by the International Medical Informatics Association, this annual publication includes the best papers in medical informatics from around the world.
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