TY - JOUR
T1 - A Method for Projections of the Emergency Department Behaviour by Non-Communicable Diseases From 2019 to 2039
AU - Shojaei, Elham
AU - Wong, Alvaro
AU - Rexachs, Dolores
AU - Epelde, Francisco
AU - Luque, Emilio
N1 - Funding Information:
Manuscript received September 25, 2019; revised January 15, 2020, February 21, 2020, and April 16, 2020; accepted April 17, 2020. Date of publication May 11, 2020; date of current version September 3, 2020. This work was supported by the MICINN/MINECO Spain under Contract TIN2014-53172-P and in part by the Agencia Estatal de Investigación, Spain and the Fondo Europeo de Desarrollo Regional UE, under Contract TIN2017-84875-P and in part funded by a research collaboration agreement with the Fundacion Escuelas Universitarias Gimbernat (EUG). (Corresponding author: Elham Shojaei.) The authors are with the Computer Arcitecture and Operating System, Universitat Autonoma de Barcelona, Barcelona 08193, Spain (e-mail: elham.shojaei@e-campus.uab.cat; alvaro.wong@uab.cat; dolores.rexachs@uab.cat; fepelde@tauli.cat; emilio.luque@uab.cat). Digital Object Identifier 10.1109/JBHI.2020.2990343
Publisher Copyright:
© 2013 IEEE.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - In this paper, a new method for prediction of future performance and demand on emergency department (ED) in Spain is presented. Increased life expediency and population aging in Spain, along with their corresponding health conditions such as non-communicable diseases (NCDs), have been suggested to contribute to higher demands on ED. These lead to inferior performance of the department and cause longer ED length of stay (LoS). Prediction and quantification of behavior of ED is, however, challenging as ED is one of the most complex parts of hospitals. Using detailed computational approaches integrated with clinical data behavior of Spain's ED in future years was predicted. First, statistical models were developed to predict how the population and age distribution of patients with non-communicable diseases change in Spain in future years. Then, an agent-based modeling approach was used for simulation of the emergency department to predict impacts of the changes in population and age distribution of patients with NCDs on the performance of ED, reflected in ED LoS, between years 2019 and 2039. Results from different projection scenarios indicated that Spain would experience a continuous increase in total ED LoS from 5.7 million hours in 2019 to 6.2 million hours in 2039 if same human and physical resources, as well as same ED configuration, are used. The results from this study can provide health care provider with quantitative information on required staff and physical resources in the future and allow health care policymakers to improve modifiable factors contributing to the demand and performance of ED.
AB - In this paper, a new method for prediction of future performance and demand on emergency department (ED) in Spain is presented. Increased life expediency and population aging in Spain, along with their corresponding health conditions such as non-communicable diseases (NCDs), have been suggested to contribute to higher demands on ED. These lead to inferior performance of the department and cause longer ED length of stay (LoS). Prediction and quantification of behavior of ED is, however, challenging as ED is one of the most complex parts of hospitals. Using detailed computational approaches integrated with clinical data behavior of Spain's ED in future years was predicted. First, statistical models were developed to predict how the population and age distribution of patients with non-communicable diseases change in Spain in future years. Then, an agent-based modeling approach was used for simulation of the emergency department to predict impacts of the changes in population and age distribution of patients with NCDs on the performance of ED, reflected in ED LoS, between years 2019 and 2039. Results from different projection scenarios indicated that Spain would experience a continuous increase in total ED LoS from 5.7 million hours in 2019 to 6.2 million hours in 2039 if same human and physical resources, as well as same ED configuration, are used. The results from this study can provide health care provider with quantitative information on required staff and physical resources in the future and allow health care policymakers to improve modifiable factors contributing to the demand and performance of ED.
KW - Agent based modeling
KW - non-communicable disease
KW - population aging
KW - projection of emergency department
KW - simulation
UR - http://www.scopus.com/inward/record.url?scp=85090491849&partnerID=8YFLogxK
U2 - 10.1109/JBHI.2020.2990343
DO - 10.1109/JBHI.2020.2990343
M3 - Artículo
C2 - 32396109
AN - SCOPUS:85090491849
SN - 2168-2194
VL - 24
SP - 2490
EP - 2498
JO - IEEE Journal of Biomedical and Health Informatics
JF - IEEE Journal of Biomedical and Health Informatics
IS - 9
M1 - 9091062
ER -