Roberts Angus
Senior research fellow at the University of Sheffield, Sheffield, United Kingdom.
AMA J Ethics. 2017 Mar 1;19(3):281-288. doi: 10.1001/journalofethics.2017.19.3.stas1-1703.
Medical language is at the heart of the electronic health record (EHR), with up to 70 percent of the information in that record being recorded in the natural language, free-text portion. In moving from paper medical records to EHRs, we have opened up opportunities for the reuse of this clinical information through automated search and analysis. Natural language, however, is challenging for computational methods. This paper examines the tension between the nuanced, qualitative nature of medical language and the logical, structured nature of computation as well as the way in which these have interacted with each other through the medium of the EHR. The paper also examines the potential for the computational analysis of natural language to overcome this tension.
医学语言是电子健康记录(EHR)的核心,该记录中高达70%的信息是以自然语言的自由文本形式记录的。从纸质病历转向电子健康记录,我们通过自动搜索和分析为重复利用这些临床信息创造了机会。然而,自然语言对计算方法来说具有挑战性。本文探讨了医学语言的细微、定性本质与计算的逻辑、结构化本质之间的矛盾,以及它们通过电子健康记录这一媒介相互作用的方式。本文还探讨了自然语言计算分析克服这种矛盾的潜力。