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


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AbstractSimulation 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.
All Author(s) ListKuo YH, Leung JMY, Tsoi KKF, Meng HM, Graham CA
Name of ConferenceIEEE International Congress on Big Data
Start Date of Conference27/06/2015
End Date of Conference02/07/2015
Place of ConferenceNew York
Country/Region of ConferenceUnited States of America
Detailed descriptionorganized by IEEE,
Year2015
Month1
Day1
PublisherIEEE
Pages313 - 316
eISBN978-1-4673-7278-7
ISSN2379-7703
LanguagesEnglish-United Kingdom
Keywordsbig data; emergency department; RFID; simulation modelling
Web of Science Subject CategoriesComputer Science; Computer Science, Theory & Methods; Engineering; Engineering, Electrical & Electronic

Last updated on 2020-23-05 at 02:03