Biomedical Informatics Center (BMIC), Medical University of South Carolina, Charleston, South Carolina, USA.
Health Sciences South Carolina, Columbia, South Carolina, USA.
J Am Med Inform Assoc. 2021 Jul 30;28(8):1807-1811. doi: 10.1093/jamia/ocab066.
Public health faces unprecedented challenges in its efforts to control COVID-19 through a national vaccination campaign. Addressing these challenges will require fundamental changes to public health data systems. For example, of the core data systems for immunization campaigns is the immunization information system (IIS); however, IISs were designed for tracking the vaccinated, not finding the patients who are high risk and need to be vaccinated. Health systems have this data in their electronic health records (EHR) systems and often have a greater capacity for outreach. Clearly, a partnership is needed. However, successful collaborations will require public health to change from its historical hierarchical information supply chain model to an ecosystem model with a peer-to-peer exchange with population health providers. Examples of the types of informatics innovations necessary to support such an ecosystem include a national patient identifier, population-level data exchange for immunization data, and computable electronic quality measures. Rather than think of these components individually, a comprehensive approach to rapidly adaptable tools for collaboration is needed.
公共卫生在通过全国疫苗接种运动来控制 COVID-19 方面面临前所未有的挑战。应对这些挑战需要对公共卫生数据系统进行根本改变。例如,免疫接种运动的核心数据系统之一是免疫信息系统(IIS);然而,IIS 是为跟踪接种疫苗的人群而设计的,而不是为寻找需要接种疫苗的高风险患者而设计的。卫生系统在其电子健康记录(EHR)系统中拥有这些数据,并且通常具有更大的外展能力。显然,需要建立伙伴关系。然而,成功的合作将需要公共卫生从其历史上的层级信息供应链模型转变为具有与人群健康提供者对等交换的生态系统模型。支持这种生态系统所需的信息学创新的例子包括全国患者标识符、免疫数据的人群水平数据交换以及可计算的电子质量措施。公共卫生不是要单独考虑这些组成部分,而是需要一种全面的方法来快速采用协作工具。