Preventable Medical Errors Driven Modeling of Medical Best Practice Guidance Systems
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- 作者：Andrew Y.-Z. Ou ; Yu Jiang ; Po-Liang Wu ; Lui Sha…
- 关键词：Medical guidance systems ; Cardiac arrest resuscitation ; Human intellectual tasks
- 刊名：Journal of Medical Systems
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：41
- 期：1
- 全文大小：1,964 KB
- 刊物类别：Mathematics and Statistics
- 刊物主题：Statistics
Statistics for Life Sciences, Medicine and Health Sciences
Health Informatics and Administration - 出版者：Springer Netherlands
- ISSN：1573-689X
- 卷排序：41
文摘
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.