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A human data entry and notification system to monitor the delivery of meals in a hospital setting

机译:人工数据输入和通知系统,用于监控医院环境中的饭菜运送

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To combat the risk of hyperglycemia while in the hospital, a patient's insulin delivery should be correlated with blood glucose levels and meal consumption. At present, there is a particularly acute disconnect between insulin delivery and meal consumption. There are simply no formal processes for communicating the status of meal delivery, and thereby too much variation in the timing of meal delivery. To address this problem, a needs assessment was performed which included observations, surveys, and interviews with various stakeholders from nursing and dietary as well as information technology. As a result, a new process was developed, where 1) catering associates enter time estimates upon imminent departure from the kitchen, and 2) nurses are notified of the time estimates prior to meal arrival. Graphical user interfaces were designed to afford data entry in limited time, with little required training. A database is used to capture and convey information between the interfaces. As well, there is a means whereby catering associates, as well as managers, can review past performance and compliance. The system was preliminarily evaluated in terms of heuristic evaluation, color contrast, GOMS, and user scenarios (N=5). Then, initial field tests were performed with catering associates (N=2). The results indicate that human data entry is done in less than 30 seconds for basic scenarios, and 60 seconds for more complex scenarios; and that data entry is intuitive to learn. By only the fourth scenario, the duration of task completion was near theoretical estimates.
机译:为了避免在医院中发生高血糖的风险,应将患者的胰岛素输送量与血糖水平和进餐量相关联。目前,胰岛素的输送和进餐之间存在特别严重的脱节。根本没有正式的程序来传达送餐状态,从而在送餐时间上有太多变化。为了解决这个问题,进行了一项需求评估,其中包括观察,调查以及与护理,饮食和信息技术等各个利益相关者的访谈。结果,开发了一种新的过程,其中1)餐饮服务人员在即将离开厨房时输入时间估计,并且2)在进餐之前将时间估计通知护士。图形用户界面旨在在有限的时间内提供数据输入,而无需进行任何培训。数据库用于在接口之间捕获和传达信息。同样,餐饮合作伙伴和经理也可以通过某种方式来回顾过去的绩效和合规性。根据启发式评估,色彩对比,GOMS和用户方案(N = 5)对系统进行了初步评估。然后,与餐饮服务人员进行了初步的现场测试(N = 2)。结果表明,基本情况下的人力数据输入时间不到30秒,复杂情况下的数据输入时间不到60秒。而且数据输入很直观。仅在第四个场景中,任务完成的持续时间接近理论估计。

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