建立21世纪学术健康中心的数据共享环境

ACI open Pub Date : 2020-01-01 DOI:10.1055/s-0040-1709652
Anjum Khurshid, Justin F. Rousseau, Steven B. Andrews, W. Tierney
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引用次数: 3

摘要

抽象目标 本研究的主要目的是与社区卫生系统合作,在一所新的医学院建立一个无缝的临床数据共享系统。方法 我们开发了数据请求管理系统(DRMS)和数据请求流程,以简化质量改进、人口健康和研究数据的访问和管理。我们在实施临床数据共享系统时采用了四个方面的方法:数据治理、数据提取、外部关系和内部参与。后果 由诚实的数据代理组成的数据核心团队通过建立的关系、数据使用协议、数据请求流程和DRMS在运营的第一年处理了来自所有部门的50多个数据请求。DRMS应用程序及其支持的治理和关系通过促进信任、透明度、标准化和服务提供,为改善数据共享环境的流程和准确性提供了一个平台。结论 开发一个无缝的数据生态系统,形成学术健康中心和社区健康系统之间的学习健康系统的基础,需要人员(数据核心团队)、流程(通用数据请求流程政策和程序)和技术(有效的在线DRMS)的结合。未来的工作需要衡量临床数据共享系统对数据共享效率和准确性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishing a Data-Sharing Environment for a 21st-Century Academic Health Center
Abstract Objective The main purpose of this study was to establish a seamless clinical data sharing system in a new medical school in partnership with community health systems. Methods We developed a Data Request Management System (DRMS) and a data request process to streamline access to and management of data for quality improvement, population health, and research. We utilized a four-pronged methodology in implementing our clinical data sharing system: data governance, data extraction, external relationships, and internal engagement. Results The Data Core team of honest data brokers through the established relationships, data use agreements, data request processes, and the DRMS processed more than 50 data requests from all the departments during its first year of operation. The DRMS application and the supporting governance and relationships provided a platform for improved process and accuracy of data sharing environment by facilitating trust, transparency, standardization, and service provisioning. Conclusion Developing a seamless data ecosystem that forms the basis of a learning health system between an academic health center and community health systems requires a combination of people (the Data Core team), processes (common data request process policies and procedures), and technology (an effective online DRMS). Future work is needed to measure the impact of the clinical data sharing system on efficiency and accuracy of data sharing.
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