RAND Corporation, Arlington, Virginia, USA.
RAND Corporation, Santa Monica, California, USA.
Big Data. 2022 Sep;10(S1):S9-S14. doi: 10.1089/big.2022.0205.
The public is inundated with data, both in where data are ubiquitously collected and in how organizations are using data to drive public sector and commercial decisions. The public health data system is no exception to this flood of data, both in growing data volume and variety. However, what are collected and analyzed about the health status of the nation, how particular data and measures are prioritized for parsimony, and how those data provide a signal for where to invest to address health inequities are in dire need of a reboot. As with other articles in this supplement, this article builds from a literature review, an environmental scan, and deliberations from the National Commission to Transform Public Health Data Systems. The article summarizes what data should be included and identifies where the technology and data sectors can contribute to fill current gaps to measure equity, positive health, and well-being.
公众被数据所淹没，无论是在数据无处不在的收集地点，还是在组织如何利用数据来推动公共部门和商业决策的方面。公共卫生数据系统也不例外，无论是在数据量的增长还是种类的增加方面。然而，关于国家健康状况的哪些内容被收集和分析，哪些特定的数据和指标被优先考虑以保持简洁，以及这些数据如何为投资提供解决健康不平等问题的信号，这些都迫切需要重新启动。与本增刊中的其他文章一样，本文基于文献综述、环境扫描以及国家公共卫生数据系统转型委员会的讨论。本文总结了应该包括哪些数据，并确定了技术和数据部门可以在哪些方面做出贡献，以填补目前衡量公平、积极健康和福祉方面的差距。
