基于真实世界数据的疾病管理研究

近年来, 随着信息技术快速发展和对循证临床实践和决策的需求急剧增加, 真实世界数据在医疗健康领域的作用日益受到重视。基于真实世界数据的疾病管理研究已成为重要发展方向, 其核心是针对疾病负担、诊断、临床预防和治疗、预后管理等多个方面的疾病管理问题, 在严谨的、预先设定的设计基础上, 基于海量、多源和高质量数据开展科学的数据分析和处理, 最终将基于这些研究证据形成疾病管理的指南、路径和技术规范, 从而提高医疗质量和安全。本文系统概述了基于真实世界数据开展疾病管理研究的一些重要问题。

Research on Disease Management Based on Real-world Data

In recent years, with the rapid development of information technology and the increasing demand for evidence-based healthcare practice and policy decisions, the value of real-world data has received extensive attention. One of the most important applied areas of real-world data is disease management. Its core concepts lie in the application of rigorous and pre-specified designs to data of large volume, multiple sources, and high quality. By doing so, the high-quality real-world evidence for disease burden, diagnosis, prevention, treatment, and prognosis is generated to inform the development of guidelines, clinical pathways, and technical standards for disease management, which ultimately improves healthcare quality and safety. This paper systematically discussed important issues regarding the use of real-world data for research on disease management.