Goldstein M K, Hoffman B B, Coleman R W, Musen M A, Tu S W, Advani A, Shankar R, O'Connor M
Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Proc AMIA Symp. 2000:300-4.
This paper describes the ATHENA Decision Support System (DSS), which operationalizes guidelines for hypertension using the EON architecture. ATHENA DSS encourages blood pressure control and recommends guideline-concordant choice of drug therapy in relation to comorbid diseases. ATHENA DSS has an easily modifiable knowledge base that specifies eligibility criteria, risk stratification, blood pressure targets, relevant comorbid diseases, guideline-recommended drug classes for patients with comorbid disease, preferred drugs within each drug class, and clinical messages. Because evidence for best management of hypertension evolves continually, ATHENA DSS is designed to allow clinical experts to customize the knowledge base to incorporate new evidence or to reflect local interpretations of guideline ambiguities. Together with its database mediator Athenaeum, ATHENA DSS has physical and logical data independence from the legacy Computerized Patient Record System (CPRS) supplying the patient data, so it can be integrated into a variety of electronic medical record systems.
本文介绍了雅典娜决策支持系统（DSS），该系统使用EON架构将高血压指南付诸实践。雅典娜DSS鼓励控制血压，并针对合并症推荐符合指南的药物治疗选择。雅典娜DSS拥有一个易于修改的知识库，该知识库规定了资格标准、风险分层、血压目标、相关合并症、针对合并症患者的指南推荐药物类别、每个药物类别中的首选药物以及临床信息。由于高血压最佳管理的证据在不断演变，雅典娜DSS旨在允许临床专家定制知识库，以纳入新证据或反映对指南模糊之处的本地解读。与数据库中介雅典娜神庙一起，雅典娜DSS在物理和逻辑上与提供患者数据的传统计算机化患者记录系统（CPRS）的数据相互独立，因此它可以集成到各种电子病历系统中。
