Embracing Big Data for Simulation Modelling of Emergency Department Processes and Activities
Refereed conference paper presented and published in conference proceedings


引用次數
替代計量分析
.

其它資訊
摘要Simulation has been demonstrated to be a powerful tool to mimic processes and activities in emergency departments. However, most applications only rely on the data that were manually input by the staff in the departments. First, this practice does not guarantee that the required data to build the simulation models are captured in the computer system, as some information about the processes of emergency departments are not electronically stored. Second, human errors and missing data are also common for manual inputs. A simulation model that is incapable of representing the actual system of the emergency department will deliver wrong conclusions to hospital administrators and may lead to negative consequences if they trust the simulation results. In this paper, we present a case study of developing a simulation model of an emergency department in Hong Kong and discuss the data challenges. Then we propose an RFID-enabled infrastructure to automatically capture large volumes of data regarding the patient activities in the ED in order to build simulation models of more details and a higher accuracy.
著者Kuo YH, Leung JMY, Tsoi KKF, Meng HM, Graham CA
會議名稱IEEE International Congress on Big Data
會議開始日27.06.2015
會議完結日02.07.2015
會議地點New York
會議國家/地區美國
詳細描述organized by IEEE,
出版年份2015
月份1
日期1
出版社IEEE
頁次313 - 316
電子國際標準書號978-1-4673-7278-7
國際標準期刊號2379-7703
語言英式英語
關鍵詞big data; emergency department; RFID; simulation modelling
Web of Science 學科類別Computer Science; Computer Science, Theory & Methods; Engineering; Engineering, Electrical & Electronic

上次更新時間 2021-22-01 於 01:10