基于工作流程的信息管理:在多中心研究研究中用于信息管理的灵活,抽象的框架
Hasan Sulaeman1, Mars Stone1, Roberta Bruhn1
1Vitalant Research Institute, 360 Spear St201, San Francisco, US.
Online journal of public health informatics
|February 19, 2026
概括
一个新的基于工作流的信息管理 (WIM) 框架,用R构建,为生物和健康研究提供灵活的数据基础设施. 该系统支持快速执行研究和公共卫生洞察力.
科学领域:
- 生物信息学和计算生物学
- 公共卫生信息学 公共卫生信息学
- 流行病学 流行病学
背景情况:
- 生物和健康研究日益数据密集,迅速生成大量信息.
- 随着COVID-19大流行,研究领域需要敏捷可靠的数据基础设施.
- 现有系统可能无法充分支持现代研究研究所需的速度和适应性.
研究的目的:
- 介绍和描述基于工作流程的信息管理 (WIM) 框架.
- 证明WIM框架对各种流行病学和研究项目的适应性.
- 为管理生物和健康研究中不断增长的数据量提供解决方案.
主要方法:
- 使用R编程语言及其生态系统开发WIM框架.
- 利用开源和社区开发的软件包来构建系统.
- 该框架的适应和应用在各种流行病学研究设计中.
主要成果:
- 该WIM框架提供了一个强大的和可适应的研究信息管理系统.
- 在不同类型的研究项目中证明了WIM框架的成功应用.
- 该系统促进了有效的数据处理,以便及时获得研究见解.
结论:
- WIM框架是数据驱动的生物和健康研究的一个有价值的,可适应的工具.
- 基于R的系统为研究数据管理提供了具有成本效益和灵活性的解决方案.
- 该框架通过及时的研究见解支持加强公共卫生政策和实践.
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