Shiffman R N
Center for Medical Informatics, Yale School of Medicine, New Haven, CT, USA.
J Am Med Inform Assoc. 1997 Sep-Oct;4(5):382-93. doi: 10.1136/jamia.1997.0040382.
To develop a knowledge representation model for clinical practice guidelines that is linguistically adequate, comprehensible, reusable, and maintainable.
Decision tables provide the basic framework for the proposed knowledge representation model. Guideline logic is represented as rules in conventional decision tables. These tables are augmented by layers where collateral information is recorded in slots beneath the logic.
Decision tables organize rules into cohesive rule sets wherein complex logic is clarified. Decision table rule sets may be verified to assure completeness and consistency. Optimization and display of rule sets as sequential decision trees may enhance the comprehensibility of the logic. The modularity of the rule formats may facilitate maintenance. The augmentation layers provide links to descriptive language, information sources, decision variable characteristics, costs and expected values of policies, and evidence sources and quality.
Augmented decision tables can serve as a unifying knowledge representation for developers and implementers of clinical practice guidelines.
开发一种用于临床实践指南的知识表示模型，该模型在语言上恰当、可理解、可重复使用且可维护。
决策表为所提出的知识表示模型提供基本框架。指南逻辑在传统决策表中表示为规则。这些表通过分层进行扩充，在逻辑下方的插槽中记录相关信息。
决策表将规则组织成连贯的规则集，其中复杂逻辑得以阐明。决策表规则集可进行验证以确保完整性和一致性。将规则集优化并显示为顺序决策树可增强逻辑的可理解性。规则格式的模块化可能便于维护。扩充层提供与描述性语言、信息来源、决策变量特征、政策成本和预期值以及证据来源和质量的链接。
扩充决策表可为临床实践指南的开发者和实施者提供统一的知识表示。
