Abstract
A simulation model is presented for the attention to users in emergency situations in Bogota. This system is vital importance for the development, security and stability of the city. The simulation process begins with an intelligence model that allows acquiring the knowledge of complex process of attention of users and understanding relationships among resources which attend emergencies. This system is managed by Emergency Regulatory Center (ERC) assigned to the District Health Secretary. Within the results achieved, it is possible to obtain an improvement in measures of performance such as average time in the system and the average time blocked which show an inadequate level service because they are result of excessive time in waiting calls and the subsequent system exit. Different scenarios were proposed in order to increase reception capacity of the incidents in the activation system’s phase, which is equivalent to increase the technicians auxiliaries of regulatory medical (TARM) and of the regulatory doctor (RD).
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References
Londres, G.S.: Reseñas críticas. Rev. Int. Del Trab. 122(1) (2003)
CRUE. Boletín de Estadísticas dela CRUE (2016). http://www.saludcapital.gov.co/DPYS/Paginas/BoletinEstadistico.aspx?RootFolder=%2FDPYS%2FCodificacin%2FBolet%C3%ADn%20Estad%C3%ADstico%202015%2FCRUE&FolderCTID=0x01200072E42472F12B304C9832E81B706B5458&View={5ABBE625-B30A-46FE-84A7-C406EE8398DE}
Haddow, G., Bullock, J., Coppola, D.P.: Introduction to Emergency Management. Butterworth-Heinemann, Oxford (2017)
Saghafian, S., Austin, G., Traub, S.J.: Operations research/management contributions to emergency department patient flow optimization: review and research prospects. IIE Trans. Healthc. Syst. Eng. 5(2), 101–123 (2015)
Huertas, J.A., Barrera, O.D., Velasco, N.M. Amaya C.A. (2008). Evaluación del despacho de ambulancias del Centro Regulador de Urgencias y Emergencias de Bogotá (C.R.U.E.). http://dspace.uniandes.edu.co/xmlui/bitstream/handle/1992/1122/H%202008%2024.pdf?sequence=1
Departamento Administrativo Nacional de Estadística DANE. Estudios demográficos del DANE revelan que la población colombiana entre el 2005 y 2010 crecerá a una tasa media anual de 1.18%, lo que significa que al terminar el quinquenio Colombia tendrá una población de 45.508.205 (2005). https://www.dane.gov.co/files/BoletinProyecciones.pdf
Fiedrich, F., Gehbauer, F., Rickers, U.: Optimized resource allocation for emergency response after earthquake disasters. Saf. Sci. 35(3), 41–57 (2000)
Chou, J.S., Tsai, C.F., Chen, Z.Y., Sun, M.H.: Biological-based genetic algorithms for optimized disaster response resource allocation. Comput. Ind. Eng. 74, 52–67 (2014)
Rogers, F.B., Rittenhouse, K.J., Gross, B.W.: The golden hour in trauma: dogma or medical folklore? Injury 46(4), 525–527 (2015)
Ünlüyurt, T., Tunçer, Y.: Estimating the performance of emergency medical service location models via discrete event simulation. Comput. Ind. Eng. 102, 467–475 (2016)
Pinto, L.R., Silva, P.M.S., Young, T.P.: A generic method to develop simulation models for ambulance systems. Simul. Model. Pract. Theory 51, 170–183 (2015)
Kergosien, Y., Bélanger, V., Soriano, P., Gendreau, M., Ruiz, A.: A generic and flexible simulation-based analysis tool for EMS management. Int. J. Prod. Res. 53(24), 7299–7316 (2015)
Lamine, E., Fontanili, F., Di Mascolo, M., Pingaud, H.: Improving the management of an emergency call service by combining process mining and discrete event simulation approaches. In: Camarinha-Matos, L.M., Bénaben, F., Picard, W. (eds.) PRO-VE 2015. IAICT, vol. 463, pp. 535–546. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24141-8_50
McCormack, R., Coates, G.: A simulation model to enable the optimization of ambulance fleet allocation and base station location for increased patient survival. Eur. J. Oper. Res. 247(1), 294–309 (2015)
Zaffar, M.A., Rajagopalan, H.K., Saydam, C., Mayorga, M., Sharer, E.: Coverage, survivability or response time: a comparative study of performance statistics used in ambulance location models via simulation–optimization. Operations Res. Health Care 11, 1–12 (2016)
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Authors would like to thank the Emergency Department of the city of Bogotá, with the participation of all those officials who collaborated with the development of the research, information and all the support received by the experts of the Operative Center.
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Mendez-Giraldo, G., López-Santana, E., Suarez-Roldan, C. (2018). A Simulation Model for the Attention to Users in Emergency Situations in the City of Bogotá. In: Figueroa-García, J., López-Santana, E., Rodriguez-Molano, J. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-00350-0_20
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