Exploring Data Analytics to Identify Time-Dependent Factors of Emergency Department Crowding

研究成果: Conference contribution

摘要

During the period of the COVID-19 pandemic, there is a notable change in the congestion levels of emergency departments (ED). This phenomenon offers an opportunity to study the influence factors of ED crowding. In this work, we crawl real-time information from the ED of major hospitals in Taiwan and conduct data analytics to obtain a comprehensive view of the situation during the COVID-19 pandemic. Note that the data we used contain nonprivate information, avoiding the issue of confidentiality of data. Our goal is to provide valuable information on the appropriate timing of nonemergency patients' visits to the ED and to help nonemergency patients make informed decisions about when to visit the ED, ultimately improving their experience and the overall quality of medical care. The findings of this work have potential applications in developing intelligent systems or mobile applications that could offer valuable insights into optimizing nonemergency patient visits, thereby relieving the ED crowding problem.

原文English
主出版物標題2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面113-114
頁數2
ISBN(電子)9798350324174
DOIs
出版狀態Published - 2023
事件2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan
持續時間: 2023 7月 172023 7月 19

出版系列

名字2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

Conference

Conference2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
國家/地區Taiwan
城市Pingtung
期間23-07-1723-07-19

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 人機介面
  • 資訊系統
  • 資訊系統與管理
  • 電氣與電子工程
  • 媒體技術
  • 儀器

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