Patient Flow Evaluation with System Dynamic Model in an Emergency Department: Data Analytics on Daily Hospital Records
Refereed conference paper presented and published in conference proceedings

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AbstractThe big data in Accident and Emergency services in hospitals worth being analyzed to provide clinical decision support to clinicians and medical information to patients. System Dynamics modelling is a technique used for modelling complex behaviors of organizational and social systems. In this study, a system dynamics approach is used to model the patient flow in Accident and Emergency in Hong Kong. The study aims to examine the trade-offs of various safety and quality outcomes in an Emergency Department: waiting time and occupancy (acute beds and waiting room) in primary, on the adjustments of various factors (e.g. Admission volumes and staff numbers) in order to evaluate how an accident and emergency system in Hong Kong could be more efficiently operated.
All Author(s) ListChong M., Wang M., Lai X., Zee B., Hong F., Yeoh E., Wong E., Yam C., Chau P., Tsoi K., Graham C.
Name of Conference4th IEEE International Congress on Big Data, BigData Congress 2015
Start Date of Conference27/06/2015
End Date of Conference02/07/2015
Place of ConferenceNew York City
Country/Region of ConferenceUnited States of America
Detailed descriptionorganized by IEEE Computer Society, 27 June – 2 July 2015,
Year2015
Month8
Day17
Pages320 - 323
ISBN9781467372787
ISSN2379-7703
LanguagesEnglish-United Kingdom
Keywordsaccident and emergency, emergency department, patient flow, System dynamics

Last updated on 2021-12-04 at 23:56