TY - GEN
T1 - UVA emergency department patient flow simulation and analysis
AU - Cocke, Steven
AU - Guinn, David
AU - Macblane, Eric
AU - Walshak, Stephen
AU - Willenbrock, Nicholas
AU - White, K. Preston
AU - Lobo, Jennifer M.
AU - Kang, Hyojung
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/10
Y1 - 2016/6/10
N2 - One of the most pressing issues facing the American healthcare system is an inability to meet the ever-increasing demand for emergency department (ED) care. EDs across the country are experiencing overcrowding that exhausts resources, creates unacceptable waiting times, diminishes the quality of patient care, and increases financial costs for both the patients and medical departments. The ED at the University of Virginia (UVA) Medical Center is no exception. From 2014 to 2015, the number of patients seen at the UVA ED grew by 4%, which is expected to continue to increase annually. In response, the UVA Medical Center will construct a new "ED Tower" that will double the department's bed capacity, improving departmental efficiency and providing better patient care. This paper reports on a simulation study of patient flows in the UVA ED under alternative demand scenarios, staffing levels, and operating practices. Key performance measures include overall patient length of stay and arrival to provider time. A trace simulation of the current ED was conducted using data from 2014 to validate the model and this model was updated with new logic for the future ED. Our results suggest that the additional space, coupled with staffing schedule changes, will help alleviate the overcrowding problem at the UVA ED for the foreseeable future. For example, the future ED with the current staffing schedule would reduce the average arrival to provider time by 29.5% and overall average length of stay by 3.7%. By incorporating the results of our analysis with our research into best practices of process flow within EDs, we expect our recommendations to improve patient flow efficiency of the future ED and help maximize the quality of care that is delivered to patients.
AB - One of the most pressing issues facing the American healthcare system is an inability to meet the ever-increasing demand for emergency department (ED) care. EDs across the country are experiencing overcrowding that exhausts resources, creates unacceptable waiting times, diminishes the quality of patient care, and increases financial costs for both the patients and medical departments. The ED at the University of Virginia (UVA) Medical Center is no exception. From 2014 to 2015, the number of patients seen at the UVA ED grew by 4%, which is expected to continue to increase annually. In response, the UVA Medical Center will construct a new "ED Tower" that will double the department's bed capacity, improving departmental efficiency and providing better patient care. This paper reports on a simulation study of patient flows in the UVA ED under alternative demand scenarios, staffing levels, and operating practices. Key performance measures include overall patient length of stay and arrival to provider time. A trace simulation of the current ED was conducted using data from 2014 to validate the model and this model was updated with new logic for the future ED. Our results suggest that the additional space, coupled with staffing schedule changes, will help alleviate the overcrowding problem at the UVA ED for the foreseeable future. For example, the future ED with the current staffing schedule would reduce the average arrival to provider time by 29.5% and overall average length of stay by 3.7%. By incorporating the results of our analysis with our research into best practices of process flow within EDs, we expect our recommendations to improve patient flow efficiency of the future ED and help maximize the quality of care that is delivered to patients.
KW - Discrete Event Simulation Modeling
KW - Emergency Department
KW - Overcrowding
KW - Resource Utilization
UR - http://www.scopus.com/inward/record.url?scp=84979964900&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979964900&partnerID=8YFLogxK
U2 - 10.1109/SIEDS.2016.7489282
DO - 10.1109/SIEDS.2016.7489282
M3 - Conference contribution
AN - SCOPUS:84979964900
T3 - 2016 IEEE Systems and Information Engineering Design Symposium, SIEDS 2016
SP - 118
EP - 123
BT - 2016 IEEE Systems and Information Engineering Design Symposium, SIEDS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Systems and Information Engineering Design Symposium, SIEDS 2016
Y2 - 29 April 2016
ER -