NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Nat Rev Genet. 2012 May 2;13(6):395-405. doi: 10.1038/nrg3208.
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.
描述患者表型和治疗的临床数据是一种未充分利用的数据来源，其具有比当前认识到的更大的研究潜力。挖掘电子健康记录 (EHR) 有可能建立新的患者分层原则，并揭示未知的疾病相关性。将 EHR 数据与遗传数据相结合，也将更深入地了解基因型-表型关系。然而，目前广泛存在的伦理、法律和技术原因阻碍了这些数据在 EHR 中的系统存储和挖掘。在这里，我们考虑使用 EHR 数据进一步推进医学研究和临床护理的潜力，以及在这成为现实之前必须克服的挑战。
