Stéphanie Bernonville

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Adverse drug events (ADEs) are a public health is sue. Their detection usually relies on voluntary reporting or medical chart reviews. The objective of this paper is to automatically detect cases of ADEs by data mining. 115 447 complete past hospital stays are extracted from six French, Danish, and Bulgarian hospitals using a common data model including(More)
OBJECTIVE The objectives of this paper are: In this approach, the implementation of such a complex IT solution is considered a major redesign of the work system. The paper describes the Human Factor (HF) tasks embedded in the project lifecycle: (1) analysis and modelling of the current work system and usability assessment of the medication CPOE solution;(More)
OBJECTIVES The integration of Human Factors is still insufficient in the design and implementation phases of complex interactive systems such as Computerized Physician Order Entry (CPOE) systems. One of the problems is that human factors specialists have difficulties to communicate their data and to have them properly understood by the computer scientists(More)
This study is part of a research project aiming at developing advanced functions of medication related CDSS to support the monitoring of patients' therapeutic treatments based mainly on corresponding lab values. We adopted a user-centred approach to the design of these advanced CDSS functions. We collected existing recommendations in the literature and(More)
This paper focuses on the prevention of technology induced errors in Health Information Technology (HIT) applications through usability tests in which patient safety-oriented usability goals have been included. A case study presents the evaluation of a web-based medication-related Clinical Decision Support System (CDSS). Systematically defining beforehand(More)
The method proposed in this article aims to facilitate the re-engineering of existing interactive software by proposing a common framework for Software Engineers and Human Factors specialists. The method explicitly combines Petri Nets and ergonomic criteria. A case study of medication ordering in healthcare is used to illustrate the method.
Data entry by physicians is a critical aspect in the health care domain, in which errors may lead to severe consequences for patients. This paper describes and discusses these aspects to support human-centered design of appropriate human-computer interaction technology. The following issues will be addressed, including system aim, users' profiles,(More)
Several papers propose to take contexts into account for adverse drug events (ADE) detection and prevention, notably to decrease over-alerting of clinical decision support systems (CDSS). However, no statistical argument has been published till now. This works demonstrates, based on statistical analysis, that contextualization is necessary for ADE detection(More)