一种用于实施计算机化医师医嘱录入（CPOE）系统的临床规则分类法。
A clinical rules taxonomy for the implementation of a computerized physician order entry (CPOE) system.
作者信息
Wang Jerome K, Shabot M Michael, Duncan Raymond G, Polaschek Jeanette X, Jones Douglas T
机构信息
Cedars-Sinai Health System and the UCLA School of Medicine, Los Angeles, CA, USA.
出版信息
Proc AMIA Symp. 2002:860-3.
Many of the benefits of computerized physician order entry (CPOE) stem from its ability to support medical decision-making and error-reduction during patient care. This automated "intelligence" is typically represented by a network of rules. We describe a taxonomic representation of clinical decision-support rules in the context of developing and implementing a de novo CPOE and decision-support system. In our experience, this clinical rules taxonomy facilitated our implementation goals in the areas of physician acceptance and approval, rules construction and maintenance, and technical development and testing. This rules taxonomy may eventually be used to establish standards by which CPOE-based decision-support is measured.
计算机化医师医嘱录入（CPOE）的诸多益处源于其在患者护理过程中支持医疗决策和减少差错的能力。这种自动化“智能”通常由一组规则网络来体现。我们在开发和实施一个全新的CPOE及决策支持系统的背景下，描述了临床决策支持规则的一种分类表示法。根据我们的经验，这种临床规则分类法在医师接受与认可、规则构建与维护以及技术开发与测试等方面推动了我们的实施目标。这种规则分类法最终可能会被用于确立衡量基于CPOE的决策支持的标准。
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