National Academies of Sciences, Engineering, and Medicine, Washington, DC 20001;
Department of Economics, University of Rochester, Rochester, NY 14627.
Proc Natl Acad Sci U S A. 2018 Dec 11;115(50):12595-12602. doi: 10.1073/pnas.1809919115.
Entities involved in population health often share a common mission while acting independently of one another and perhaps redundantly. Population health is in everybody's interest, but nobody is really in charge of promoting it. Across governments, corporations, and frontline operations, lack of coordination, lack of resources, and lack of reliable, current information have often impeded the development of situation-awareness models and thus a broad operational integration for population health. These deficiencies may also affect the technical, organizational, policy, and legal arrangements for information sharing, a desired practice of high potential value in population health. In this article, we articulate a vision for a next-generation modeling effort to create a systems architecture for broadly integrating and visualizing strategies for advancing population health. This multipurpose systems architecture would enable different views, alerts, and scenarios to better prepare for and respond to potential degradations in population health. We draw inspiration from systems engineering and visualization tools currently in other uses, including monitoring the state of the economy (market performance), security (classified intelligence), energy (power generation), transportation (global air traffic control), environment (weather monitoring), jobs (labor market dynamics), manufacturing and supply chain (tracking of components, parts, subassemblies, and products), and democratic processes (election analytics). We envision the basic ingredients for a population health systems architecture and its visualization dashboards to eventually support proactive planning and joint action among constituents. We intend our ambitious vision to encourage the work needed for progress that the population deserves.
参与人群健康的实体常常在相互独立且可能冗余地行动的同时,拥有共同的使命。人群健康符合每个人的利益,但没有人真正负责促进它。在各级政府、企业和一线业务中,协调不力、资源匮乏以及缺乏可靠、最新的信息,常常阻碍了情境意识模型的开发,从而也阻碍了人群健康的广泛业务整合。这些不足也可能影响信息共享的技术、组织、政策和法律安排,而信息共享是人群健康中一种具有高潜在价值的理想做法。在本文中,我们阐述了下一代建模工作的愿景,旨在创建一个用于广泛整合和可视化人群健康推进策略的系统架构。这种多用途系统架构将能够提供不同的视图、警报和场景,以便更好地为人群健康的潜在恶化做好准备并做出响应。我们从当前在其他用途中使用的系统工程和可视化工具中汲取灵感,包括监测经济状况(市场表现)、安全(机密情报)、能源(发电)、交通(全球空中交通管制)、环境(天气监测)、就业(劳动力市场动态)、制造业和供应链(跟踪组件、零件、子组件和产品)以及民主进程(选举分析)。我们设想了人群健康系统架构及其可视化仪表板的基本要素,最终将支持各组成部分的主动规划和联合行动。我们希望这个雄心勃勃的愿景能够鼓励为人群健康做出所需的进步。