Martin Niels, Bergs Jochen, Eerdekens Dorien, Depaire Benoît, Verelst Sandra
Hasselt University, Belgium.
Leuven University Hospitals, Belgium.
Int Emerg Nurs. 2018 Jul;39:68-76. doi: 10.1016/j.ienj.2017.08.001. Epub 2017 Aug 31.
As an emergency department (ED) is a complex adaptive system, the analysis of continuously gathered data is valuable to gain insight in the real-time patient flow. To support the analysis and management of ED operations, relevant data should be provided in an intuitive way.
Within this context, this paper outlines the development of a dashboard which provides real-time information regarding ED crowding.
The research project underlying this paper follows the principles of design science research, which involves the development and study of artifacts which aim to solve a generic problem. To determine the crowding indicators that are desired in the dashboard, a modified Delphi study is used. The dashboard is implemented using the open source Shinydashboard package in R.
A dashboard is developed containing the desired crowding indicators, together with general patient flow characteristics. It is demonstrated using a dataset of a Flemish ED and fulfills the requirements which are defined a priori.
The developed dashboard provides real-time information on ED crowding. This information enables ED staff to judge whether corrective actions are required in an effort to avoid the adverse effects of ED crowding.
由于急诊科是一个复杂的自适应系统，对持续收集的数据进行分析对于洞察实时患者流量很有价值。为支持急诊科运营的分析和管理，相关数据应以直观的方式提供。
在此背景下，本文概述了一个提供有关急诊科拥挤实时信息的仪表板的开发过程。
本文所基于的研究项目遵循设计科学研究的原则，该原则涉及旨在解决一般问题的工件的开发和研究。为确定仪表板中所需的拥挤指标，采用了改进的德尔菲研究法。该仪表板使用R语言中的开源Shinydashboard包实现。
开发了一个包含所需拥挤指标以及一般患者流量特征的仪表板。使用佛兰芒急诊科的数据集进行了演示，并且满足了事先定义的要求。
所开发的仪表板提供了有关急诊科拥挤的实时信息。这些信息使急诊科工作人员能够判断是否需要采取纠正措施，以避免急诊科拥挤带来的不利影响。
