Mining electronic health records: towards better research applications and clinical care

被引：914
|
作者：
Jensen, Peter B. [1 ]
Jensen, Lars J. [1 ]
Brunak, Soren [1 ,2 ]
机构：
[1] Univ Copenhagen, Fac Hlth Sci, NNF Ctr Prot Res, Copenhagen, Denmark
[2] Tech Univ Denmark, Dept Syst Biol, Ctr Biol Sequence Anal, DK-2800 Lyngby, Denmark
来源：
NATURE REVIEWS GENETICS | 2012年 / 13卷 / 06期
关键词：
MEDICAL-RECORDS; LARGE-SCALE; EXTRACTION SYSTEM; INFORMATION; DISCOVERY; NETWORKS; BIOLOGY; REIDENTIFICATION; CLASSIFICATION; DETERMINANTS;
D O I：
10.1038/nrg3208
中图分类号：
Q3 [遗传学];
学科分类号：
071007 ; 090102 ;
摘要：
Clinical data describing the phenotypes and treatment of patients represents an underused data source that has much greater research potential than is currently realized. Mining of electronic health records (EHRs) has the potential for establishing new patient-stratification principles and for revealing unknown disease correlations. Integrating EHR data with genetic data will also give a finer understanding of genotype-phenotype relationships. However, a broad range of ethical, legal and technical reasons currently hinder the systematic deposition of these data in EHRs and their mining. Here, we consider the potential for furthering medical research and clinical care using EHR data and the challenges that must be overcome before this is a reality.
引用
收藏
页码：395 / 405
页数：11
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