Title :
Patient Flow Evaluation with System Dynamic Model in an Emergency Department: Data Analytics on Daily Hospital Records
Author :
Chong, Marc ; Maggie Wang ; Xin Lai ; Zee, Benny ; Fung Hong ; Ek Yeoh ; Wong, Eliza ; Yam, Carrie ; Chau, Patsy ; Tsoi, Kelvin ; Graham, Colin
Author_Institution :
JC Sch. of Public Health & Primary Care, Chinese Univ. of Hong Kong, Hong Kong, China
Abstract :
The 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.
Keywords :
Big Data; decision support systems; emergency services; medical information systems; organisational aspects; safety; Big Data; Hong Kong; clinical decision support; data analytics; emergency department; emergency services; hospital records; medical information; organizational systems; patient flow evaluation; safety; social systems; system dynamic model; Accidents; Big data; Data models; Hospitals; Mathematical model; System dynamics; accident and emergency; emergency department; patient flow;
Conference_Titel :
Big Data (BigData Congress), 2015 IEEE International Congress on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7277-0
DOI :
10.1109/BigDataCongress.2015.54
