Development of a simulation environment to study emergency department information technology.
Development of a simulation environment to study emergency department information technology.
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开发模拟环境来研究急诊科信息技术。
DOI：
10.1097/sih.0b013e3181c82c0a
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Wears,RobertL
中科院分区：
文献类型：
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作者：
Pennathur,PriyadarshiniR;Cao,Dapeng;Sui,Zheng;Lin,Li;Bisantz,AnnM;Fairbanks,RollinJ;Guarrera,TheresaK;Brown,JenniferL;Perry,ShawnaJ;Wears,RobertL
方法：一个模拟的艾德电子白板开发研究态势感知指标。来自实际艾德的动态过程数据用于生成模拟参数，包括患者在不同时间到达、严重度分布、治疗艾德患者所需的时间以及辅助周转时间（实验室和放射学）。一个由工业工程师和艾德医生组成的团队为模拟器患者提供了人口统计学和临床信息。将艾德模拟参数与临床信息相结合，形成事件时间轴数据库。事件的时间线被用来填充一个前端的病人跟踪系统显示simulation.Results：由此产生的病人跟踪系统显示模拟包括底层软件，桌面和大屏幕显示器，电话呼叫/寻呼机系统，和典型的任务，提高了现实主义的模拟体验。该系统可以评估显示参数和艾德操作对用户performance.Conclusions的影响：模块化设计的患者跟踪系统显示模拟有助于适应不同的研究，以支持各种接口功能和交互类型。在这项工作中描述的方法利用离散事件模拟的好处，迭代设计和测试技术，如电子病人跟踪系统，并允许评估人类的表现措施。
Methods:A simulation of an ED electronic whiteboard was developed to study situation awareness metrics. Dynamic process data from an actual ED was used to generate simulation parameters including patient arrivals at various hours, distribution of severities, times required to treat the ED patients, and ancillary turnaround times (laboratory and radiology). A team of industrial engineers and ED physicians contributed demographic and clinical information for simulator patients. ED simulation parameters were combined with clinical information resulting in an event timeline database. Event timelines were used to populate a front-end patient-tracking system display simulation.Results:The resulting patient-tracking system display simulation consists of underlying software, desktop and large-screen displays, a phone call/pager system, and typical tasks that enhance the realism of the simulation experience. The system can evaluate the impact of display parameters and ED operations on user performance.Conclusions:Modular design of the patient-tracking system display simulation helps adaptation for different studies to support various interface features and interaction types. The methodology described in this work exploits the benefits of discrete event simulation to iteratively design and test technologies such as electronic patient tracking systems and allows assessment of human performance measures.