Campbell K E, Cohn S P, Chute C G, Shortliffe E H, Rennels G
Stanford University School of Medicine, CA, USA.
Methods Inf Med. 1998 Nov;37(4-5):426-39.
As the size and complexity of medical terminologies increase, terminology modelers are increasingly hampered by lack of tools and methods to manage the development process. This paper presents our use and ongoing evaluation of a description-logic classifier to support cognitive scalability of the underlying terminology and our enhancements to that classifier to support concurrent development utilizing semantics-based concurrency control methods. Our enhancements, collectively referred to as the Gálapagos, consist of several applications that take locally-developed terminology enhancements from multiple sites, identify conflicting design decisions, support the modelers' reconciliation of the conflicting designs, and efficiently disseminate updates tailored for locally enhanced terminologies. We have tested our ideas through concurrent evolutionary enhancement of SNOMED International at three Kaiser Permanente regions and the Mayo Clinic. We have found that the underlying environment has met our design objectives, and supports semantic-based concurrency control, and identification and resolution of conflicting design decisions.
随着医学术语的规模和复杂性不断增加，术语建模人员越来越受到缺乏管理开发过程的工具和方法的阻碍。本文介绍了我们对描述逻辑分类器的使用和持续评估，以支持基础术语的认知可扩展性，以及我们对该分类器的增强，以支持利用基于语义的并发控制方法进行并发开发。我们的增强功能统称为加拉帕戈斯，由几个应用程序组成，这些应用程序从多个站点获取本地开发的术语增强功能，识别冲突的设计决策，支持建模人员对冲突设计进行协调，并有效地传播为本地增强术语量身定制的更新。我们通过在凯撒医疗机构的三个地区和梅奥诊所对国际疾病分类法（SNOMED）进行并发进化增强来测试我们的想法。我们发现基础环境达到了我们的设计目标，并支持基于语义的并发控制以及冲突设计决策的识别和解决。
