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

项目摘要 美国对新冠肺炎大流行的反应突显了一个 健全的公共卫生基础设施。这是在更大的背景下发生的，因为应报告的传染性 过去十年的疾病。监测应报告传染病(包括新冠肺炎)和 相应的疫苗接种覆盖面是公共卫生方面的协调努力，但已知是复杂的 陷入信息系统和组织的泥潭。尽管技术进步，但许多公共卫生 HIT系统没有强大的互操作性(无缝电子数据交换)。这项研究针对的是 通过评估电子疫苗接种数据交换的互操作性方法得出的知识差距 用于传染病监测、疫苗接种和电子健康记录的HIT系统。这 互操作性评估将由RE-AIM(REACH、有效性、采用、实施和 维护)实施框架。目标1将专注于一种新的电子产品互操作工具 在公共卫生领域内交换疫苗接种数据，并确定其使用的促进因素和障碍。 AIM 2将评估使用不断发展的互操作性工具进行电子疫苗接种数据交换 临床护理中的公共卫生和电子健康记录。这项研究具有创新性，因为它评估了互操作性工具和 跨关键信息系统的方法，以促进传染病监测和医疗保健质量。 这项工作是至关重要的，随着新冠肺炎疫苗的问世和 了解对广泛的疫苗可预防疾病的有效监测战略。最重要的是 这项工作的目标是通过促进数据来增强数据驱动的决策制定，并最终提高医疗质量 公共卫生内部以及公共卫生和临床护理之间的HIT系统之间的交流。而这项研究 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 其他州的设置。这些学习可用于加强可互操作的电子数据交换 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.