AGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunications, Department of Computer Science, al. Mickiewicza 30, 30-059 Kraków, Poland.
J Biomed Inform. 2013 Jun;46(3):530-40. doi: 10.1016/j.jbi.2013.04.005. Epub 2013 Apr 22.
The paper presents a novel approach to online application of formalized rules for medical treatment procedures when processing data from personal medical devices. The rules are formalized by using a rule-based reasoning approach and are applied in order to enhance patient safety and support physicians in their daily work. The presented approach relies on dividing data processing into two stages: (1) the event processing stage and (2) the knowledge application stage. At the event processing stage raw data produced by personal medical devices is transformed into an aggregated/correlated form, as required by the rules for treatment procedures. At the knowledge application stage formalized rules are applied to transformed data, resulting in execution of various support actions. This paper describes how rules for treatment of patients suffering from cardiovascular diseases can be expressed in terms of an event processing statement set and a rule engine knowledge base. The technical feasibility of the proposed approach is supported by a detailed description of the TeleCARE remote healthcare framework - an implementation of the proposed approach along with evaluation performed using a large number of simulated personal medical devices.
本文提出了一种新颖的方法，用于在处理来自个人医疗设备的数据时在线应用医疗处理程序的形式化规则。这些规则是通过基于规则的推理方法进行形式化的，并应用于提高患者安全性和支持医生日常工作。所提出的方法依赖于将数据处理分为两个阶段：（1）事件处理阶段和（2）知识应用阶段。在事件处理阶段，将个人医疗设备产生的原始数据转换为所需的治疗程序规则的聚合/相关形式。在知识应用阶段，将形式化规则应用于转换后的数据，从而执行各种支持操作。本文描述了如何用事件处理语句集和规则引擎知识库来表达治疗心血管疾病患者的规则。TeleCARE 远程医疗框架的详细描述支持了所提出方法的技术可行性 - 该框架是对所提出方法的实现，并使用大量模拟个人医疗设备进行了评估。
