ActX, Seattle, Washington, USA.
Genet Med. 2013 Oct;15(10):779-85. doi: 10.1038/gim.2013.111. Epub 2013 Aug 15.
Electronic health record systems are in widespread use but currently have very limited genomic capabilities. Electronic health record systems are a logical place for patient genomic information to be stored and used for decision support and improvement of patient care. Genomic data and their automated interpretation are very challenging for electronic health record software development because they are substantially different than other kinds of electronic health record data and decision support. Those differences, the resulting challenges, and possible solutions are reviewed in this article.
电子健康记录系统得到广泛应用，但目前其基因组学功能非常有限。电子健康记录系统是存储患者基因组信息的理想场所，可用于决策支持和改善患者护理。基因组数据及其自动解释对电子健康记录软件开发极具挑战性，因为它们与其他类型的电子健康记录数据和决策支持有很大的不同。本文回顾了这些差异、由此产生的挑战和可能的解决方案。
