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Developing a DEVS-JAVA Model to Simulate and Pre-test Changes to Emergency Care Delivery in a Safe and Efficient Manner

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 11466)

Abstract

Patients’ overcrowding in Emergency Department (ED) is a major problem in medical care worldwide, predominantly due to time and resource constraints. Simulation modeling is an economical approach to solve complex healthcare problems. We employed Discrete Event System Specification-JAVA (DEVS-JAVA) based model to simulate and test changes in emergency service conditions with an overall goal to improve ED patient flow. Initially, we developed a system based on ED data from South Carolina hospitals. Later, we ran simulations on four different case scenarios. 1. Optimum number (no.) of doctors and patients needed to reduce average (avg) time of assignment (avg discharge time = 33 min). 2. Optimum no. of patients to reduce avg discharge time (avg wait time = 150 min). 3. Optimum no. of patients to reduce avg directing time to critical care (avg wait time = 58 min). 4. Optimum no. of patients to reduce avg directing time to another hospital (avg wait time = 93 min). Upon execution of above 4 simulations, 4 patients got discharged utilizing 3 doctors; 5 patients could be discharged from ED to home; 2 patients could be transferred from ED to critical care; 3 patients could be transferred from ED to another hospital. Our results suggest that the generated DEVS-JAVA simulation method seems extremely effective to solve time-dependent healthcare problems.

Keywords

DEVS-JAVA Simulation Emergency department (ED) 

Notes

Acknowledgments

1. Support from the Georgia State University Information Technology Department (GSU IT) for server space is gratefully acknowledged.

2. Support from the Artificial Intelligence and Simulation Research Group, Department of Electrical and Computer Engineering, The University of Arizona for providing DEVS-JAVA architecture is gratefully acknowledged.

Supporting Information.

No external funding has been utilized for this analysis.

References

  1. 1.
    Mohiuddin, S., Busby, J., Savović, J.: Patient flow within UK emergency departments: a systematic review of the use of computer simulation modelling methods. BMJ Open (2017)Google Scholar
  2. 2.
    Institute of Medicine (US) Committee on Assuring the Health of the Public in the 21st Century: The Future of the Public’s Health in the 21st Century, vol. 5. National Academies Press, Washington (DC) (2002). The Health Care Delivery System. https://www.ncbi.nlm.nih.gov/books/NBK221227/
  3. 3.
    Zeigler, B., Hessam, S.: Introduction to DEVS Modeling and Simulation with JAVA: Developing Component-Based Simulation Models. http://www.cs.gsu.edu/xhu/CSC8350/DEVSJAVA_Manuscript.pdf
  4. 4.
    Artificial Intelligence and Simulation Research Group: DEVS-Java Reference Guide (1997). https://grid.cs.gsu.edu/~fbai1/paper/4560.pdf
  5. 5.
    Hospital Compare datasets: Data.medicare.gov (2018). https://data.medicare.gov/data/hospital-compare/

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceGeorgia State UniversityAtlantaUSA
  2. 2.Department of BiologyGeorgia State UniversityAtlantaUSA
  3. 3.College of Public HealthThe University of Iowa, UI Research ParkIowa CityUSA

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