Polubriaginof Fernanda C G, Shang Ning, Hripcsak George, Tatonetti Nicholas P, Vawdrey David K
Department of Biomedical Informatics, Columbia University, New York, NY.
Value Institute, NewYork-Presbyterian Hospital, New York, NY.
AMIA Annu Symp Proc. 2018 Dec 5;2018:1471-1477. eCollection 2018.
Cardiovascular disease is the leading cause of death in the United States, and abnormal blood glucose is an important risk factor. Delayed diagnosis of diabetes mellitus can increase patients' morbidity. In an urban academic medical center with a large clinical data warehouse, we used a novel algorithm to identify 56,794 family members of diabetic patients that were eligible for disease screening. We found that 30.6% of patients did not receive diabetes screening as recommended by current guidelines. Further, our analysis showed that having more than one family member affected and being a female were important contributors to being screened for diabetes mellitus. This study demonstrates that informatics methods applied to electronic health record data can be used to identify patients at risk for disease development, and therefore support clinical care.
心血管疾病是美国的主要死因，而血糖异常是一个重要的风险因素。糖尿病的延迟诊断会增加患者的发病率。在一个拥有大型临床数据仓库的城市学术医疗中心，我们使用了一种新颖的算法来识别56794名符合疾病筛查条件的糖尿病患者家庭成员。我们发现，30.6%的患者未按照当前指南的建议接受糖尿病筛查。此外，我们的分析表明，有不止一名家庭成员患病以及女性是接受糖尿病筛查的重要因素。这项研究表明，应用于电子健康记录数据的信息学方法可用于识别有疾病发展风险的患者，从而支持临床护理。
