Abstract
Appointment lead-time is a pivotal parameter in elderly outpatient clinics. In this regard, delayed medical care may represent complications in the elderly population and the development of more severe diseases. However, healthcare managers are not skilled in methods effectively reducing waiting times. Therefore, this paper presents the computer simulation modelling to tackle this problem. In this regard, the real-world system was initially simulated and then, three improvement scenarios were designed and validated operationally and financially. The results evidenced that Scenario 2 was the best choice since it provided a low investment per reduced day and a significant reduction (47.1%) regarding the probability of waiting for more than 8 days per appointment. With this proposal, the quality of medical care in elderly population can be meaningfully increased and decision-making process can be effectively supported.
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References
Ortíz Barrios, M.A., McClean, S., Nugent, C.D., Castillo, A.: Reducing appointment lead-time in an outpatient department of gynecology and obstetrics through discrete-event simulation: a case study. Springer, Cham (2016)
LaGanga, L.R., Lawrence, S.R.: Clinic overbooking to improve patient access and increase provider productivity. Decis. Sci. 38(2), 251–276 (2007)
Giachetti, R.E.: A simulation study of interventions to reduce appointment lead-time and patient no-show rate. In: Simulation Conference, 2008. WSC 2008, Winter pp. 1463–1468, IEEE
Rohleder, T.R., Lewkonia, P., Bischak, D.P., Duffy, P., Hendijani, R.: Using simulation modeling to improve patient flow at an outpatient orthopedic clinic. Health Care Manag. Sci. 14(2), 135–145 (2011)
Zhu, Z., Heng, B.H., Teow, K.L.: Analysis of factors causing long patient waiting time and clinic overtime in outpatient clinics. J. Med. Syst. 36(2), 707–713 (2012)
Barrios, M.O., Jiménez, H.F.: Reduction of average lead time in outpatient service of obstetrics through six sigma methodology. Ambient intelligence for health, pp. 293–302. Springer, London (2015)
Oche, M.O., Adamu, H.: Determinants of patient waiting time in the general outpatient department of a tertiary health institution in north Western Nigeria. Ann. Med. Health Sci. Res. 3(4), 588–592 (2013)
Brailsford, S., Harper, P., Patel, B., Pitt, M.: An analysis of the academic literature on simulation and modeling in health care. J. Simul. 3, 130–140 (2009)
De Angelis, V., Felici, G., Impelluso, P.: Integrating simulation and optimization in health care centre management. Eur. J. Oper. Res. 150, 101–114 (2003)
Coelli, F., Ferreira, R., Almeida, R., Pereira, W.: Computer simulation and discrete-event models in the analysis of a mammography clinic patient flow. Comput. Methods Programs Biomed. 87, 201–207 (2007)
Elkhuizen, S., Das, S., Bakker, P., Hontelez, J.: Using computer simulation to reduce access time for outpatient departments. Qual. Saf. Health Care 16, 382–386 (2007)
Villamizar, J., Coelli, F., Pereira, W., Almeida, R.: Discrete-event computer simulation methods in the optimization of a physiotherapy clinic. Physiotherapy 97, 71–77 (2011)
Zeng, Z., Ma, X., Hu, Y., Li, J., Bryant, D.: A simulation study to improve quality of care in the emergency department of a community hospital. J. Emerg. Nurs. 38, 322–328 (2012)
Mocarzel, B., Shelton, D., Uyan, B., Pérez, E., Jimenez, J., DePagter, L.: Modeling and simulation of patient admission services in a multi-specialty outpatient clinic. In: Proceedings of the 2013 Winter Simulation Conference, pp. 2309–2319 (2013)
Viana, J., Brailsford, S.C., Harindra, V., Harper, P.R.: Combining discrete-event simulation and system dynamics in a healthcare setting: a composite model for Chlamydia infection. Eur. J. Oper. Res. 237, 196–206 (2014)
Ben-Tovim, D., Filar, J., Hakendorf, P., Qin, S., Thompson, C., Ward, D.: Hospital event simulation model: arrivals to discharge-design, development and application. Simul. Model. Pract. Theory 68, 80–94 (2016)
Ortiz, M.A., López-Meza, P.: Using computer simulation to improve patient flow at an outpatient internal medicine department. In: García, Carmelo R., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds.) UCAmI 2016. LNCS, vol. 10069, pp. 294–299. Springer, Cham (2016). doi:10.1007/978-3-319-48746-5_30
Herazo-Padilla, N., Montoya-Torres, J.R., Muñoz-Villamizar, A., Isaza, S.N., Polo, L.R.: Coupling ant colony optimization and discrete-event simulation to solve a stochastic location-routing problem. In: Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World, pp. 3352–3362. IEEE Press (2013)
Mohiuddin, S., Busby, J., Savović, J., Richards, A., Northstone, K., Hollingworth, W., Donovan, J., Vasilakis, C.: Patient flow within UK emergency departments: a systematic review of the use of computer simulation modelling methods. BMJ Open 7(5), e015007 (2017)
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Ortíz-Barrios, M., López-Meza, P., Jimenez-Delgado, G. (2017). Applying Computer Simulation Modelling to Minimizing Appointment Lead-Time in Elderly Outpatient Clinics: A Case Study. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_34
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DOI: https://doi.org/10.1007/978-3-319-67585-5_34
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