Liu Hongfang, Friedman Carol
Department of Information Systems, University of Maryland at Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
Stud Health Technol Inform. 2004;107(Pt 1):639-43.
With the evolving use of computers in healthcare, the electronic medical record (EMR) is becoming more and more popular. A tool is needed that would enable physicians to accurately and efficiently access clinical information in multiple medical records associated with a particular patient. Both natural language processing (NLP) and the eXtensible Markup Language (XML) have been used in the clinical domain for capturing, representing, and utilizing clinical information and both have shown great potential. In this paper, we demonstrate another use of XML and NLP through CliniViewer, a tool that organizes and presents the clinical information in multiple records. We also describe the flexibility and capability provided when combining XML and NLP to summarize, navigate, and conceptualize structured information. The tool has been fully implemented and tested using patients with multiple discharge summaries.
随着计算机在医疗保健领域的应用不断发展，电子病历（EMR）越来越受欢迎。需要一种工具，使医生能够准确、高效地访问与特定患者相关的多份病历中的临床信息。自然语言处理（NLP）和可扩展标记语言（XML）都已在临床领域用于捕获、表示和利用临床信息，并且都显示出了巨大的潜力。在本文中，我们通过CliniViewer展示了XML和NLP的另一种用途，CliniViewer是一种组织和呈现多份病历中临床信息的工具。我们还描述了将XML和NLP结合起来以总结、浏览和概念化结构化信息时所提供的灵活性和功能。该工具已使用有多份出院小结的患者进行了全面实施和测试。
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