Brookings Institution, Washington, DC, USA.
Health Aff (Millwood). 2011 Apr;30(4):682-9. doi: 10.1377/hlthaff.2011.0137.
Better data on the quality of health care being delivered in the United States are urgently needed if efforts to reform the nation's health care system are to succeed. This paper describes a "distributed data approach" to computing performance results while protecting patients' privacy. The strategy builds on the efforts of the Quality Alliance Steering Committee, a multistakeholder coalition focused on the implementation of performance measures. Instead of waiting for the government or the private sector to build large data warehouses, existing data from administrative sources, laboratories, clinical registries, and electronic health records could be put to greater use now, resulting in improved patient care and spurring further advances in performance measurement. In this article we introduce an overall framework for achieving these goals, and we describe a set of steps to accelerate and expand the availability of performance measures to improve care now.
如果要成功改革美国的医疗保健体系，就迫切需要更好的医疗服务质量数据。本文介绍了一种“分布式数据方法”，可在保护患者隐私的同时计算绩效结果。该策略建立在质量联盟指导委员会的努力基础上，该委员会是一个多利益相关者联盟，专注于实施绩效措施。与其等待政府或私营部门建立大型数据仓库，现在可以更好地利用来自行政来源、实验室、临床登记处和电子健康记录的现有数据，从而改善患者护理，并推动绩效衡量的进一步发展。在本文中，我们介绍了实现这些目标的总体框架，并描述了一系列步骤，以加快和扩大绩效措施的可用性，从而改善当前的护理水平。
