West Suzanne L, Johnson William, Visscher Wendy, Kluckman Marianne, Qin Yue, Larsen Ann
RTI International, USA; University of North Carolina at Chapel Hill, USA.
Health Informatics J. 2014 Mar;20(1):22-34. doi: 10.1177/1460458213476506.
This article explores the challenges inherent in linking data from disparate sources-electronic medical records (EMR) and health insurer claims-and the probable benefits of doing so to evaluate several quality measures associated with diabetes. Using the business associate agreement provision of the Health Insurance Portability and Accountability Act, we were able to link health insurer claims with EMR data; however, when restricting the linked data to patients with at least one medication and one diagnosis in the evaluation year, we lost 90 percent of our linked population. Whether this loss was due to difficulties in extracting the data from site EMRs, to changes in insurer coverage over time, or to both was not discernible. Because linking EMR data to health insurer claims can produce a clinically rich longitudinal data set, assessing the completeness and quality of the data is critical to health services research and health-care quality measurements.
本文探讨了将来自不同来源的数据——电子病历(EMR)和健康保险公司理赔数据——相链接所固有的挑战,以及这样做对于评估与糖尿病相关的若干质量指标可能带来的益处。利用《健康保险流通与责任法案》中的商业伙伴协议条款,我们得以将健康保险公司理赔数据与电子病历数据相链接;然而,在将链接数据限制于评估年度内至少有一种用药和一项诊断的患者时,我们失去了90%的链接人群。这种损失是由于从机构电子病历中提取数据存在困难、保险公司承保范围随时间发生变化,还是两者皆有,尚无法确定。由于将电子病历数据与健康保险公司理赔数据相链接能够生成一个临床信息丰富的纵向数据集,因此评估数据的完整性和质量对于卫生服务研究和医疗质量衡量至关重要。