Ou Andrew Y-Z, Jiang Yu, Wu Po-Liang, Sha Lui, Berlin Richard B
Department of Computer Science, University of Illinois Urbana-Champaign, Champaign, IL, USA.
J Med Syst. 2017 Jan;41(1):9. doi: 10.1007/s10916-016-0614-2. Epub 2016 Nov 16.
In a medical environment such as Intensive Care Unit, there are many possible reasons to cause errors, and one important reason is the effect of human intellectual tasks. When designing an interactive healthcare system such as medical Cyber-Physical-Human Systems (CPHSystems), it is important to consider whether the system design can mitigate the errors caused by these tasks or not. In this paper, we first introduce five categories of generic intellectual tasks of humans, where tasks among each category may lead to potential medical errors. Then, we present an integrated modeling framework to model a medical CPHSystem and use UPPAAL as the foundation to integrate and verify the whole medical CPHSystem design models. With a verified and comprehensive model capturing the human intellectual tasks effects, we can design a more accurate and acceptable system. We use a cardiac arrest resuscitation guidance and navigation system (CAR-GNSystem) for such medical CPHSystem modeling. Experimental results show that the CPHSystem models help determine system design flaws and can mitigate the potential medical errors caused by the human intellectual tasks.
在重症监护病房等医疗环境中，有许多可能导致错误的原因，其中一个重要原因是人类智力任务的影响。在设计诸如医疗网络物理-人类系统（CPH系统）这样的交互式医疗系统时，重要的是要考虑系统设计是否能够减轻由这些任务导致的错误。在本文中，我们首先介绍人类的五类通用智力任务，其中每类任务都可能导致潜在的医疗错误。然后，我们提出一个集成建模框架来对医疗CPH系统进行建模，并以UPPAAL为基础来集成和验证整个医疗CPH系统设计模型。通过一个经过验证的、全面的模型来捕捉人类智力任务的影响，我们可以设计出一个更准确且可接受的系统。我们使用心脏骤停复苏指导与导航系统（CAR-GN系统）来进行此类医疗CPH系统建模。实验结果表明，CPH系统模型有助于确定系统设计缺陷，并能减轻由人类智力任务导致的潜在医疗错误。
