Text Generation in Clinical Medicine – a Review
Text Generation in Clinical Medicine – a Review
复制标题
临床医学中的文本生成——综述
DOI：
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发表时间：
2003
影响因子：
1.7
通讯作者：
D. Hüske
中科院分区：
文献类型：
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作者：
D. Hüske;D. Hüske
摘要目的：本文旨在分析临床医学文献（如结果或转诊信）的生成方式。特别强调的问题是，“自然语言生成”（NLG）领域是否可以提供新的途径来改善目前的状况。方法：为了评估目前在文本制作中使用的技术，除了对文献进行广泛的回顾之外，还对商业上可用的系统进行了分析。目前的NLG方法的概述也是基于文献综述。为了评估几种技术在临床文献中的适用性，基于修辞结构理论、言语行为理论和临床文献中暴露的某些反复出现的语言现象，建立了临床医学文献类型学。结果：目前的医学文献文本制作方法在几个方面都不够理想。NLG领域利用的思想是，不仅从某些事实的概念表示中生成文本，而且从如何通过（书面）语言表达这些事实的知识中生成文本。不幸的是，NLG还没有为给定类型中的大多数文档类型的自动生成提供“随时可运行”的解决方案。然而，随着NLG的成熟，医学信息学对这类系统的需求似乎是非常合理的。结论：NLG为临床文件提供了一种有前途的生成文本的方法，这是一个具有巨大经济重要性的问题。因此，医学信息学社区应该致力于医学中NLG的理念。
Summary Objectives: This article aims at an analysis of ways of producing documents (such as findings or referral letters) in clinical medicine. Special emphasis is given to the question of whether the field of “Natural Language Generation” (NLG) can provide new approaches to ameliorate the current situation. Methods: In order to assess the currently used techniques in text production, an analysis of commercially available systems was performed in addition to an extensive review of the literature. The sketch of current NLG approaches is also based on a literature review. To estimate the applicability of several techniques to clinical documents, a typology of documents in clinical medicine was developed, based on rhetorical structure theory, speech act theory and certain recurrent linguistic phenomena exposed in the said documents. Results: Current ways of producing text for documents in medicine are less than optimal in several respects. The field of NLG draws on the idea of generating text from a conceptual representation of not only certain facts, but also knowledge about how to express them via (written) language. Unfortunately, NLG does not yet offer “ready-to-run” solutions for the automatic production of most of the document types in the given typology. It seems, however, highly plausible that the demands of medical informatics for these kinds of systems will be satisfiable as NLG matures. Conclusions: NLG offers a promising way of generating text for clinical documents, a problem of enormous economical importance. The medical informatics community should therefore commit itself to the idea of NLG in medicine.