Haug P J, Christensen L, Gundersen M, Clemons B, Koehler S, Bauer K
LDS Hospital, USA.
Proc AMIA Annu Fall Symp. 1997:814-8.
Free-text or natural language documents make up an increasing part of the computerized medical record. While they do provide accessible clinical information to health care personnel, they fail to support processes that require clinical data coded according to a shared lexicon and data structure. We have developed a natural language parser that converts free-text admitting diagnoses into a coded form. This application has proven acceptably accurate in the experimental laboratory to warrant a test in the target clinical environment. Here we describe an approach to moving this research application into a production environment where it can contribute to the efforts of the Health Information Services Department. This transition is essential if the products of natural language understanding research are to contribute to patient care in a routine and sustainable way.
自由文本或自然语言文档在计算机化病历中所占的比例越来越大。虽然它们确实为医护人员提供了可获取的临床信息,但它们无法支持那些需要根据共享词汇表和数据结构进行编码的临床数据的流程。我们开发了一种自然语言解析器,可将自由文本形式的入院诊断转换为编码形式。该应用程序在实验实验室中已被证明具有可接受的准确性,足以在目标临床环境中进行测试。在此,我们描述一种将此研究应用程序转移到生产环境的方法,在该环境中它可为健康信息服务部的工作做出贡献。如果自然语言理解研究的成果要以常规且可持续的方式为患者护理做出贡献,那么这种转变至关重要。