Bernonville Stéphanie, Marcilly Romaric, Messai Radja, Leroy Nicolas, Przewozny Emma, Souf Nathalie, Beuscart-Zéphir Marie-Catherine
INSERM CIC-IT Evalab, CHU Lille, UDSL EA2694, Univ Lille Nord de France, F-59000 Lille, France.
Stud Health Technol Inform. 2011;166:74-83.
Clinical Decision Support Systems (CDSS) are recently implemented in hospital settings to improve the reliability of drug ordering. However, such systems have limited effects due to their tendency to overalert. To healthcare professionals consider alerts, it is necessary to adapt the CDSS to their activity. Thus, it is necessary to consider contextualisation aspects in the system design. In this article, we propose a taxonomy integrating contextualisation elements issued from an activity analysis to guide the design of a contextualised CDSS. This taxonomy has been developed within the framework of the European project PSIP (Patient Safety through Intelligent Procedures in medication) aiming to make easier the identification and the prevention of Adverse Drug Events.
临床决策支持系统（CDSS）最近已在医院环境中实施，以提高药物订购的可靠性。然而，由于这些系统存在过度提醒的倾向，其效果有限。为了让医疗专业人员考虑这些提醒，有必要使CDSS适应他们的工作。因此，在系统设计中考虑情境化方面很有必要。在本文中，我们提出了一种分类法，该分类法整合了从活动分析中得出的情境化元素，以指导情境化CDSS的设计。这种分类法是在欧洲项目PSIP（通过药物治疗中的智能程序实现患者安全）的框架内开发的，旨在更轻松地识别和预防药物不良事件。
