Borycki Elizabeth M, Kushniruk Andre W, Kuwata Shigeki, Kannry Joseph
School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada.
Stud Health Technol Inform. 2011;166:197-205.
Electronic health records (EHRs) promise to improve and streamline healthcare through electronic entry and retrieval of patient data. Furthermore, based on a number of studies showing their positive benefits, they promise to reduce medical error and make healthcare safer. However, a growing body of literature has clearly documented that if EHRS are not designed properly and with usability as an important goal in their design, rather than reducing error, EHR deployment has the potential to actually increase medical error. In this paper we describe our approach to engineering (and reengineering) EHRs in order to increase their beneficial potential while at the same time improving their safety. The approach described in this paper involves an integration of the methods of usability analysis with video analysis of end users interacting with EHR systems and extends the evaluation of the usability of EHRs to include the assessment of the impact of these systems on work practices. Using clinical simulations, we analyze human-computer interaction in real healthcare settings (in a portable, low-cost and high fidelity manner) and include both artificial and naturalistic data collection to identify potential usability problems and sources of technology-induced error prior to widespread system release. Two case studies where the methods we have developed and refined have been applied at different levels of user-computer interaction are described.
电子健康记录(EHRs)有望通过电子方式录入和检索患者数据来改善和简化医疗保健。此外,基于多项显示其积极益处的研究,它们有望减少医疗差错并提高医疗保健的安全性。然而,越来越多的文献清楚地记录表明,如果电子健康记录设计不当,且未将可用性作为其设计的重要目标,那么电子健康记录的部署非但不会减少差错,实际上反而有可能增加医疗差错。在本文中,我们描述了我们设计(以及重新设计)电子健康记录的方法,以便在提高其有益潜力的同时,提升其安全性。本文所述方法涉及将可用性分析方法与对最终用户与电子健康记录系统交互的视频分析相结合,并将电子健康记录可用性评估扩展至包括评估这些系统对工作实践的影响。通过临床模拟,我们(以便携、低成本和高保真的方式)分析真实医疗环境中的人机交互,并包括人工和自然主义数据收集,以便在系统广泛发布之前识别潜在的可用性问题和技术引发差错的根源。本文描述了两个案例研究,我们所开发和完善的方法已在不同层次的用户与计算机交互中得到应用。