Nies Julie, Koutkias Vassilis, Kilintzis Vassilis, Guillot Bertrand, Maglaveras Nicos, Pedersen Henrik Gliese, Berg Anna-Lis, Skjoet Peter
MEDASYS, Gif-Sur-Yvette, France.
Stud Health Technol Inform. 2011;166:95-104.
This paper presents an analysis of hospitals' organization and Hospital Information Systems' features which can contribute in contextualization of Clinical Decision Support Systems (CDSS) for Adverse Drug Event (ADE) prevention. We identified four categories of contextualization: ENVIRONMENT, TASKS, USERS and TEMPORAL ASPECTS. Based on this analysis, we studied the technical possibilities at the architectural level to determine which component(s) of a standalone knowledge platform could technically handle contextualization. The results impact three types of components of this platform: (1) a CDSS providing decision support based on ADE signals mined in large data repositories; (2) a Connectivity Platform providing transformation and routing services (enabling any application to connect to the CDSS); (3) three prototype applications for accessing the decision support services realized within an industrial Computerized Physician Order Entry, an industrial Electronic Health Record and in an independent Web prototype, respectively. In each of the above components we present the dimension(s) of contextualization that has/have been determined to cope with and the design followed in the implementation phase.
本文对医院组织和医院信息系统的特征进行了分析,这些特征有助于临床决策支持系统(CDSS)针对不良药物事件(ADE)预防进行情境化。我们确定了四类情境化:环境、任务、用户和时间方面。基于此分析,我们在架构层面研究了技术可能性,以确定独立知识平台的哪些组件能够在技术上处理情境化。结果影响该平台的三种类型组件:(1)一个CDSS,基于在大数据存储库中挖掘的ADE信号提供决策支持;(2)一个连接平台,提供转换和路由服务(使任何应用程序都能连接到CDSS);(3)三个原型应用程序,分别用于在工业计算机化医师医嘱录入系统、工业电子健康记录系统和独立的网络原型中访问实现的决策支持服务。在上述每个组件中,我们展示了已确定要应对的情境化维度以及在实施阶段遵循的设计。