Emergency Medical Services Modelling

Paul Harper, Jonathan Gillard, Vincent Knight, Leanne Smith, Julie Vile, Janet Williams

Abstract

Emergency Medical Services (EMS) are facing increasing pressures in many nations given that demands on the service are rising. This paper focuses on the operations of the Welsh Ambulance Service Trust (WAST), which provides urgent care services on a day-to-day basis across the whole of Wales. Facing ever-increasing pressures to provide rapid responses, the Trust is keen to develop new initiatives to meet the response time targets set by the government. This article describes work performed at Cardiff University in collaboration with WAST, investigating a range of Operational Research (OR) methods, including computer simulation, to assist the Trust with capacity planning issues and deployment of emergency vehicles and crews.

References

  1. Buffa, E., Cosgrove, M. and Luce, B. (1976). An integrated work shift scheduling system,
  2. Decision Sciences 7: 620-630.
  3. Erkut, E. et al. (2008). Ambulance location for maximum survival. Naval Research Logistics 55(1), pp. 42-58.
  4. Green, L., Kolesar, P. and Soares, J. (2001). Improving the SIPP approach for staffing service systems that have cyclic demands. Operations Research 49: 549-564.
  5. Knight, V. A., Harper P. R. and Smith L. (2012). Ambulance allocation for maximal survival with heterogeneous outcome measures. OMEGA 40(6): 919-926.
  6. Lightfoot Solutions (2009). Time to make a difference: Transforming ambulance services in Wales. A modernisation plan for ambulance services and NHS Direct Wales, Technical report.
  7. Pell, J. P. et al. (2001). Effect of reducing ambulance response times on deaths from out of hospital cardiac arrest: Cohort study. British Medical Journal 322: 1385-1388.
  8. Persse, D. E. et al. (2003). Cardiac arrest survival as a function of ambulance deployment strategy in a large urban Emergency Medical Services system. Resuscitation 59: 97-104.
  9. Setzler, H., Park, S. and Saydam, C. (2009). EMS call volume predictions: A comparative study, Computers & Operations Research 36: 1843-1851.
  10. Smith, L. (2013), Modeling emergency medical services. PhD Thesis, Cardiff University, Cardiff, UK.
  11. Vile, J., Gillard, J., Harper, P. and Knight, V. (2012). Predicting ambulance demand using singular spectrum analysis. Journal of the Operational Research Society 63(11): 1556-1565.
  12. Vile, J., Gillard, J., Harper, P. and Knight, V. (2013). A comparison of approximate and numerical methods to analyse priority queues with time-varying demand. Working paper, Cardiff School of Mathematics, Cardiff University, Cardiff, UK.
  13. Welsh Government (2011). Ambulance Services in Wales: February 2011, Technical Report SDR 59/2011.
Download


Paper Citation


in Harvard Style

Harper P., Gillard J., Knight V., Smith L., Vile J. and Williams J. (2013). Emergency Medical Services Modelling . In Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: HA, (SIMULTECH 2013) ISBN 978-989-8565-69-3, pages 549-555. DOI: 10.5220/0004538705490555


in Bibtex Style

@conference{ha13,
author={Paul Harper and Jonathan Gillard and Vincent Knight and Leanne Smith and Julie Vile and Janet Williams},
title={Emergency Medical Services Modelling},
booktitle={Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: HA, (SIMULTECH 2013)},
year={2013},
pages={549-555},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004538705490555},
isbn={978-989-8565-69-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: HA, (SIMULTECH 2013)
TI - Emergency Medical Services Modelling
SN - 978-989-8565-69-3
AU - Harper P.
AU - Gillard J.
AU - Knight V.
AU - Smith L.
AU - Vile J.
AU - Williams J.
PY - 2013
SP - 549
EP - 555
DO - 10.5220/0004538705490555