Arkad K, Ahlfeldt H, Gao X, Shahsavar N, Wigertz O, Jean F C, Degoulet P
Department of Medical Informatics, Linköping University, Sweden.
Int J Biomed Comput. 1994 Jan;34(1-4):195-205. doi: 10.1016/0020-7101(94)90022-1.
The development of large-scale, clinically accepted decision support systems (DSS) calls for powerful and commonly available methods and tools for knowledge acquisition, system realisation, and knowledge base maintenance. The paper addresses problems associated with the integration of knowledge-based systems within the clinical setting with special reference to (i) data driven decision support, (ii) the Arden Syntax as a knowledge representation format and, (iii) the HELIOS software engineering environment. Architecture of a DSS based on Arden Syntax and its integration in the HELIOS environment are presented. Realisation of the DSS is discussed in relation to client-server architecture and object-oriented databases, which are essential concepts of the HELIOS environment. Sharability and reusability of the knowledge, together with commonality of used software tools are also discussed.
大规模、临床可接受的决策支持系统（DSS）的开发需要强大且通用的知识获取、系统实现和知识库维护方法及工具。本文探讨了将基于知识的系统集成到临床环境中所涉及的问题，特别提及了：（i）数据驱动的决策支持；（ii）作为知识表示格式的阿登语法；以及（iii）HELIOS软件工程环境。介绍了基于阿登语法的DSS架构及其在HELIOS环境中的集成。结合客户端 - 服务器架构和面向对象数据库讨论了DSS的实现，这两者是HELIOS环境的关键概念。还讨论了知识的可共享性和可重用性，以及所用软件工具的通用性。
