.png){kind=icon}
返回
Dashboard visualizations: Supporting real-time throughput decision-making
.png){kind=icon}
OA
AI
DOI：10.1016/j.jbi.2017.05.024.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Providing timely and effective care in the emergency department (ED) requires the management of individual patients as well as the flow and demands of the entire department. Strategic changes to work processes, such as adding a flow coordination nurse or a physician in triage, have demonstrated improvements in throughput times. However, such global strategic changes do not address the realtime, often opportunistic workflow decisions of individual clinicians in the ED. We believe that realtime representation of the status of the entire emergency department and each patient within it through information visualizations will better support clinical decision-making in-the-moment and provide for rapid intervention to improve ED flow. This notion is based on previous work where we found that clinicians' workflow decisions were often based on an in-the-moment local perspective, rather than a global perspective. Here, we discuss the challenges of designing and implementing visualizations for ED through a discussion of the development of our prototype Throughput Dashboard and the potential it holds for supporting real-time decision-making. (C) 2017 Published by Elsevier Inc.
Keyword:
Cognitive informatics
Data visualization
Throughput
Emergency medicine
Decision making
Dashboards
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.5
论文数:
3.5K
被引数:
1.9W
机构
引用论文
Activin B Antagonizes RhoA Signaling to Stimulate Mesenchymal Morphology and Invasiveness of Clear Cell Renal Cell Carcinomas.png)
PLoS ONE
OAAI
PLoS ONEIF0
OAAI分享收藏Electronic inpatient whiteboards: Improving multidisciplinary communication and coordination of care
PREAI
分享收藏Time series analysis of variables associated with daily mean emergency department length of stay
PREAI
分享收藏分享收藏
查看更多内容