Korzeniewski Steven J, Bezold Carla, Carbone Jason T, Danagoulian Shooshan, Foster Bethany, Misra Dawn, El-Masri Maher M, Zhu Dongxiao, Welch Robert, Meloche Lauren, Hill Alex B, Levy Phillip
1Wayne State University, 2Detroit Health Department.
Online J Public Health Inform. 2020 May 16;12(1):e3. doi: 10.5210/ojphi.v12i1.10456. eCollection 2020.
This concept article introduces a transformative vision to reduce the population burden of chronic disease by focusing on data integration, analytics, implementation and community engagement. Known as PHOENIX (The Population Health OutcomEs aNd Information EXchange), the approach leverages a state level health information exchange and multiple other resources to facilitate the integration of clinical and social determinants of health data with a goal of achieving true population health monitoring and management. After reviewing historical context, we describe how multilevel and multimodal data can be used to facilitate core public health services, before discussing the controversies and challenges that lie ahead.
这篇概念文章介绍了一种变革性愿景，即通过专注于数据整合、分析、实施和社区参与来减轻慢性病的人口负担。这种方法被称为PHOENIX（人口健康结果与信息交换），它利用州级健康信息交换和多种其他资源，以促进健康数据的临床和社会决定因素的整合，目标是实现真正的人口健康监测和管理。在回顾历史背景之后，我们描述了多层次和多模式数据如何用于促进核心公共卫生服务，然后讨论了未来的争议和挑战。
