DesHarnais S
University of North Carolina, Chapel Hill.
Int J Technol Assess Health Care. 1990;6(2):229-38. doi: 10.1017/s0266462300000751.
This article examines how large data sets can be used for evaluating the effects of health policy changes and for flagging providers with potential quality problems. An example is presented, illustrating how three risk-adjusted measures of hospital performance were developed using patient discharge abstracts. Advantages and disadvantage of this approach are discussed.
本文探讨了如何利用大数据集来评估卫生政策变化的影响以及标记存在潜在质量问题的医疗服务提供者。文中给出了一个例子，说明如何使用患者出院摘要制定三种经风险调整的医院绩效衡量指标。并讨论了这种方法的优缺点。
