Measuring Diabetes Care Performance Using Electronic Health Record Data

The objective was to examine the use of electronic health record (EHR) data for diabetes performance measurement. Data were extracted from the EHR of a health system to identify patients with diabetes using 8 different EHR data-based methods of identification. These EHR-based methods were compared to the gold standard of a manual medical record review. The study team then assessed whether the method of identifying patients with diabetes could affect performance measurement scores. The sensitivity of the 8 EHR-based methods of identifying patients with diabetes ranged from moderate to high. The use of certain data elements in the EHR to identify patients with diabetes selectively identified those who had better performance measures. Diabetes performance measures are influenced by the data elements used to identify patients. As EHR data are used increasingly to measure performance, continuing to improve our understanding of how EHR data are collected and used will be critical.

目的是检验电子健康记录（EHR）数据在糖尿病绩效评估中的应用。从一个卫生系统的电子健康记录中提取数据，使用8种不同的基于电子健康记录数据的识别方法来识别糖尿病患者。将这些基于电子健康记录的方法与人工病历审查的金标准进行了比较。然后研究团队评估了识别糖尿病患者的方法是否会影响绩效评估分数。8种基于电子健康记录识别糖尿病患者的方法的敏感度从中等到高不等。使用电子健康记录中的某些数据元素来识别糖尿病患者有选择性地识别出那些具有更好绩效指标的患者。糖尿病绩效指标受用于识别患者的数据元素的影响。随着电子健康记录数据越来越多地用于衡量绩效，继续提高我们对电子健康记录数据如何收集和使用的理解将至关重要。