Farkash Ariel, Timm John T E, Waks Zeev
IBM Haifa Research Lab, Haifa University Campus, Mount Carmel, Haifa, Israel.
Stud Health Technol Inform. 2013;192:200-4.
Clinical Practice Guidelines (CPGs) contain a set of schematic plans for the treatment and management of patients who have a particular clinical condition. CPGs are increasingly being used to support physician decision making. Many groups develop tools for the representation of CPGs. These differ in their approaches to addressing particular modeling challenges. Despite this strong effort, physicians still primarily rely on free-text narrative descriptions. Thus, a core challenge is to develop a formal representation of CPGs that physicians can easily read and verify, yet a machine can process, analyze and apply directly to a patient's EHR data. Our paper proposes a solution to this fundamental problem by describing an approach to CPG formalization using the Natural Rule Language (NRL), coupled with transformation to Object Constraint Language (OCL) constraints that are applied on a patient's clinical data record, in our case an HL7 Continuity of Care Document (CCD). We illustrate our approach on a simple guideline directive for Essential Hypertension.
临床实践指南（CPG）包含一套针对患有特定临床病症患者的治疗和管理的示意性计划。CPG越来越多地被用于支持医生的决策制定。许多团体开发了用于表示CPG的工具。这些工具在应对特定建模挑战的方法上有所不同。尽管付出了巨大努力，但医生仍然主要依赖自由文本叙述描述。因此，一个核心挑战是开发一种CPG的形式化表示，医生能够轻松阅读和验证，同时机器能够直接处理、分析并应用于患者的电子健康记录（EHR）数据。我们的论文提出了一个解决这一基本问题的方案，通过描述一种使用自然规则语言（NRL）进行CPG形式化的方法，并将其转换为应用于患者临床数据记录（在我们的案例中是HL7连续护理文档（CCD））的对象约束语言（OCL）约束。我们以原发性高血压的一个简单指南指令为例来说明我们的方法。
