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Optimizing Emergency Medical Assistance Coordination in After-Hours Urgent Surgery Patients

  • Marin Lujak
  • Holger Billhardt
  • Sascha Ossowski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8953)

Abstract

This paper treats the coordination of Emergency Medical Assistance (EMA) and hospitals for after-hours surgeries of urgent patients arriving by ambulance. A standard hospital approach during night-shifts is to have standby surgery teams come to hospital after alert to cover urgent cases that cannot be covered by the in-house surgery teams. This approach results in a considerable decrease in staffing costs in respect to having sufficient permanent in-house staff. Therefore, coordinating EMA and the hospitals in a region with their outhouse staff with the objective to have as fast urgent surgery treatments as possible with minimized cost is a crucial parameter of the medical system efficiency and as such deserves a thorough investigation. In practice, the process is manual and the process management is case-specific, with great load on human phone communication. In this paper, we propose a decision support system for the automated coordination of hospitals, surgery teams on standby from home, and ambulances to decrease the time to surgery of urgent patients. The efficiency of the proposed model is proven over simulation experiments.

Keywords

Arrival Time Multiagent System Transportation Time Urgent Surgery Auction Mechanism 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This work was supported in part by the Spanish Ministry of Science and Innovation through the projects “AT” (Grant CONSOLIDER CSD2007-0022, INGENIO 2010) and “OVAMAH” (Grant TIN2009-13839-C03-02) co-funded by Plan E, and by the Spanish Ministry of Economy and Competitiveness through the project iHAS (grant TIN2012-36586-C03-02).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Marin Lujak
    • 1
  • Holger Billhardt
    • 1
  • Sascha Ossowski
    • 1
  1. 1.University Rey Juan CarlosMadridSpain

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