EMS call center models with and without function differentiation: a comparison

Abstract In pre-hospital health care the call center plays an important role in the coordination of emergency medical services (EMS). An EMS call center handles inbound requests for EMS and dispatches an ambulance if necessary. The time needed for triage and dispatch is part of the total response time to the request, which, in turn, is a key performance indicator for the quality of EMS. Call center agents should perform the triage efficiently, so that entering calls have short waiting times, and the dispatch of ambulances must be adequate and swift to get a fast EMS response. This paper presents and compares three discrete event simulation models for EMS call centers: the first has two different call center agent classes between whom communication tasks are split, while the second has one class of call center agents that share all tasks. The third model is a combination of both. The models provide new insight into the EMS call center processes and can be used to address strategic issues, such as capacity and workforce planning. The analysis and simulations of urgent communication and decision processes in this paper are valuable to other emergency call centers. 1

[1]  Sandjai Bhulai.  Dynamic routing policies for multiskill call centers , 2009 .

[2]  E. S. Savas,et al.  Simulation and Cost-Effectiveness Analysis of New York's Emergency Ambulance Service , 1969 .

[3]  Vladimir A. Bolotin,et al.  Telephone Circuit Holding Time Distributions , 1994 .

[4]  Gilbert Laporte,et al.  Ambulance location and relocation models , 2000, Eur. J. Oper. Res..

[5]  Roberto Aringhieri,et al.  Ambulance location through optimization and simulation : the case of Milano urban area , 2007 .

[6]  Matthew S. Maxwell,et al.  Approximate Dynamic Programming for Ambulance Redeployment , 2010, INFORMS J. Comput..

[7]  Cem Saydam,et al.  A multiperiod set covering location model for dynamic redeployment of ambulances , 2008, Comput. Oper. Res..

[8]  Mateo Restrepo,et al.  Computational methods for static allocation and real-time redeployment of ambulances , 2008 .

[9]  Xiaoyan Zhu,et al.  Covering models and optimization techniques for emergency response facility location and planning: a review , 2011, Math. Methods Oper. Res..

[10]  Sandjai Bhulai,et al.  A simulation model for emergency medical services call centers , 2015, 2015 Winter Simulation Conference (WSC).

[11]  Zvi Drezner.  Dynamic facility location: The progressive p-median problem , 1995 .

[12]  Tobias Andersson,et al.  Dynamic ambulance relocation for a higher preparedness , 2004 .

[13]  Sandjai Bhulai,et al.  Approximate dynamic programming techniques for skill-based routing in call centers* , 2012 .

[14]  Shane G. Henderson,et al.  Ambulance Service Planning: Simulation and Data Visualisation , 2005 .

[15]  Lawrence V. Snyder,et al.  Facility location under uncertainty: a review , 2006 .

[16]  Erhan Kozan,et al.  A Simulation Model for Emergency Centres , 2005 .

[17]  G. Koole,et al.  An Overview of Routing and Staffing Algorithms in Multi-Skill Customer Contact Centers , 2006 .

[18]  Avishai Mandelbaum,et al.  Telephone Call Centers: Tutorial, Review, and Research Prospects , 2003, Manuf. Serv. Oper. Manag..

[19]  Matthew S. Maxwell,et al.  Ambulance redeployment: An approximate dynamic programming approach , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[20]  Zied Jemaï,et al.  A simulation study to improve the performance of an emergency medical service: Application to the French Val-de-Marne department , 2014, Simul. Model. Pract. Theory.

[21]  Avishai Mandelbaum,et al.  Queueing Models of Call Centers: An Introduction , 2002, Ann. Oper. Res..

[22]  Karen Aardal,et al.  Evaluating dynamic dispatch strategies for emergency medical services: TIFAR simulation tool , 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

[23]  Verena Schmid,et al.  Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming , 2012, Eur. J. Oper. Res..