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.
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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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Lujak, M., Billhardt, H., Ossowski, S. (2015). Optimizing Emergency Medical Assistance Coordination in After-Hours Urgent Surgery Patients. In: Bulling, N. (eds) Multi-Agent Systems. EUMAS 2014. Lecture Notes in Computer Science(), vol 8953. Springer, Cham. https://doi.org/10.1007/978-3-319-17130-2_21
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DOI: https://doi.org/10.1007/978-3-319-17130-2_21
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