Advancing Population and Public health Reporting and Outcomes with Vaccination data Exchange (APPROVE)

项目摘要 美国对COVID-19大流行的反应强调了一个 健全的公共卫生基础设施。这是发生在更大的背景下， 近十年来的疾病。须呈报传染病（包括COVID-19）的监测及 相应的疫苗接种覆盖率是公共卫生领域的协调努力，但由于 信息系统和组织的泥潭。尽管技术进步，许多公共卫生 HIT系统不具备强大的互操作性（无缝电子数据交换）。这项研究涉及一个 通过评估电子疫苗接种数据交换的互操作性方法 用于传染病监测、疫苗接种和电子健康记录（EHR）的HIT系统。这 互操作性评估将遵循RE-AIM（覆盖范围、有效性、采用、实施和 维护）实施框架。Aim 1将专注于一个新的电子互操作性工具， 疫苗接种数据在公共卫生领域的交流和特点，使其使用的障碍。 目标2将评估一个不断发展的互操作性工具在跨 公共卫生和临床护理中的EHR。这项研究是创新的，因为它评估了互操作性工具， 在关键信息系统中采用各种方法，以促进传染病监测和医疗保健质量。 这项工作至关重要，随着COVID-19疫苗的上市， 了解疫苗可预防疾病的有效监测策略。总体 这项工作的目标是通过促进数据，增强数据驱动的决策，并最终提高医疗质量 在公共卫生和跨公共卫生和临床护理的HIT系统之间进行交流。虽然这项研究 将在明尼苏达州进行，研究结果具有普遍性，适用于公共卫生 在其他国家的设置。这些经验可用于加强电子数据交换的互操作性， 临床护理和改善健康结果。

Project Abstract The response to the COVID-19 pandemic in the United States has underscored the need and importance of a robust public health infrastructure. This is occurring in the larger context of increasing reportable infectious diseases over the past decade. Surveillance of reportable infectious diseases (including COVID-19) and corresponding vaccination coverage are coordinated endeavors in public health but known to be complex due to the quagmire of information systems and organizations. Despite advances in technology, many public health HIT systems do not have robust interoperability (seamless electronic data exchange). This study addresses a knowledge-gap by evaluation of interoperability approaches for electronic vaccination data exchange between HIT systems for infectious disease surveillance, vaccinations and electronic health records (EHRs). This interoperability evaluation will be guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) implementation framework. Aim 1 will focus on a novel interoperability tool for electronic vaccination data exchange within the public health realm and characterize the enablers and barriers to its use. Aim 2 will evaluate the use of an evolving interoperability tool for electronic vaccination data exchange across public health and EHRs in clinical care. The study is innovative as it evaluates interoperability tools and approaches across key information systems to facilitate infectious disease surveillance and quality of healthcare. This work is of paramount importance and will be timely as COVID-19 vaccines become available and for understanding effective surveillance strategies for a breadth of vaccine-preventable diseases. The overarching goal of this work is to enhance data-driven decision-making and ultimately healthcare quality by facilitating data exchange between HIT systems within public health and across public health and clinical care. While the study will be done in the State of Minnesota, the research findings are generalizable and applicable to public health settings in other states. The learnings can be utilized for enhancing interoperable electronic data exchanges in clinical care and improving health outcomes.