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

fYear

2015

Firstpage

320

Lastpage

323

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Big Data (BigData Congress), 2015 IEEE International Congress on

Conference_Location

New York, NY

Print_ISBN

978-1-4673-7277-0

Type

conf

DOI

10.1109/BigDataCongress.2015.54

Filename

7207238