首页> 美国卫生研究院文献>AMIA Summits on Translational Science Proceedings >Triangulating Methodologies from Software Medicine and Human Factors Industries to Measure Usability and Clinical Efficacy of Medication Data Visualization in an Electronic Health Record System
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Triangulating Methodologies from Software Medicine and Human Factors Industries to Measure Usability and Clinical Efficacy of Medication Data Visualization in an Electronic Health Record System

机译:从软件医学和人为因素行业划分的三角测量方法用于测量电子病历系统中药物数据可视化的可用性和临床功效

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摘要

Within the last decade, use of Electronic Health Record (EHR) systems has become intimately integrated into healthcare practice in the United States. However, large gaps remain in the study of clinical usability and require rigorous and innovative approaches for testing usability principles. In this study, validated tools from the core functions that EHRs serve—software, medicine and human factors—were combined to holistically understand and objectively measure usability of medication data displays. The first phase of this study included 132 medical trainee participants who were randomized to one of two simulated EHR environments with either a medication list or a medication timeline visualization. Within these environments human-computer interaction metrics, clinical reasoning and situation awareness tests, and usability surveys captured their multi-faceted interactions. Results showed no statistically significant differences in the two displays from software and situation awareness perspectives, though there were higher statistically significant usability scores of the medication timeline (intervention) as compared to the medication list (control). This first phase of a novel design in triangulating methodologies revealed several limitations from which future experiments will be adjusted with hopes of yielding further insight and a generalizable testing platform for evolving EHR interfaces.
机译:在过去的十年中,电子病历(EHR)系统的使用已紧密集成到美国的医疗保健实践中。但是,在临床可用性研究中仍然存在很大差距,需要严格而创新的方法来测试可用性原则。在这项研究中,结合了EHR所服务的核心功能(软件,医学和人为因素)的经过验证的工具,可以从整体上理解并客观地衡量药物数据显示的可用性。该研究的第一阶段包括132名医学见习学员,他们被随机分配到两个模拟的EHR环境中,其中一个以药物清单或药物时间表可视化。在这些环境中,人机交互度量,临床推理和态势感知测试以及可用性调查捕获了它们的多方面交互。从软件和情境意识的角度来看,结果显示这两个显示在统计上没有显着差异,尽管与药物清单(对照)相比,药物时间表(干预)的统计学上的可用性得分更高。三角测量方法新颖设计的第一阶段揭示了一些局限性,从中可以对未来的实验进行调整,以期获得更多的见识,并为不断发展的EHR接口提供一个通用的测试平台。

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