Abstract
In a public hospital, patients always have to wait for a long time at the registration desk before being served by physicians. Hence, it is necessary to overcome this problem by improving its queuing system to increase effectiveness. In this research, the methods used are queuing theory and simulation. Based on the data collected, most of the patients waited for 1 h 20 min to receive treatment. So, to reduce patients’ waiting time, it is necessary to increase the number of servers in both the registration and consultation phase especially during the peak hours, and allocate resources in the best way as well.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bleustein, C., Rothschild, D.B., Valen, A., Valaitis, E., Schweitzer, L., Jones, R.: Wait times, patient satisfaction scores, and the perception of care. Am. J. Manag. Care 20(5), 393–400 (2014)
Chandra, D.: Reducing waiting time of outdoor patients in hospitals using different types of models : a systematic survey. Int. J. Adv. Res. Innov. 3(1), 81–87 (2015)
Dellaert, N., Cayiroglu, E., Jeunet, J.: Assessing and controlling the impact of hospital capacity planning on the waiting time. Int. J. Prod. Res. 54(8), 2203–2214 (2016). https://doi.org/10.1080/00207543.2015.1051668
Aslan: Applications of queues in hospitals in Istanbul. J. Soc. Sci. 4(2), 770–794 (2015). https://doi.org/10.25255/jss.2015.4.2.770.794
Dhar, S.K.: Case study for bank ATM queuing model. IOSR J. Math. 7(1), 01–05 (2013). https://doi.org/10.9790/5728-0710105
Dilrukshi, P.A.D., Nirmanamali, H.D.I.M., Lanel, G.H.J., Samarakoon, M.A.S.C.: A strategy to reduce the waiting time at the outpatient department of the national hospital in Sri Lanka. Int. J. Sci. Res. Publ. 6(2), 281–2250 (2016)
Heizer, J.H., Render, B.: Module D: waiting-line models. Pearson Oper. Manage. (2013)
Fomundam, S., Herrmann, J.: A survey of queuing theory applications in healthcare. ISR Tech. Rep. 24, 1–22 (2007)
Vass, H., Szabo, Z.K.: Application of queuing model to patient flow in emergency department. case study. Proc. Econ. Financ. 32(15), 479–487 (2015). https://doi.org/10.1016/s2212-5671(15)01421-5
Kocaleva, M., Stojanova, A., Zlatanovska, B.: Simulation of M/M/n/m queuing system (2016)
Garza, N., Station, T.A.E.: Proceedings of the 1997 Juniper symposium. J. Range Manage. 50(3), 330 (1997). https://doi.org/10.2307/4003741
Lade, I.P., Choriwar, S., Sawaitul, P.B.: Simulation of queuing analysis. Int. J. Mech. Eng. Robot. Res. 2(3), 122–128 (2013)
Najib, M., Yusop, N., Ali, H.H.: Using simulation to reduce out-patient waiting time : a case study at Jitra Health Center, p. 7 (2002)
O. S. A, A. R. A, O. T. O: Queueing analysis of patient flow in hospital. IOSR J. Math. 10(4), 47–53 (2014). https://doi.org/10.9790/5728-10464753
Aziati, A.H.N., Hamdan, N.S.N.S.B.: Application of queuing theory model and simulation to patient flow at the outpatient department. Proc. Int. Conf. Ind. Eng. Oper. Manage. (2013), 3016–3028 (2018)
Sufahani, S., Zuhaimy, I.: A real scheduling problem for hospital operation room. Appl. Math. Sci. 8(113–116), 5681–5688 (2014). https://doi.org/10.12988/ams.2014.46413
Pillay, D., et al.: Hospital waiting time: The forgotten premise of healthcare service delivery? Int. J. Health Care Qual. Assur. 24(7), 506–522 (2011). https://doi.org/10.1108/09526861111160553
Najmuddin, A.F., Ibrahim, I.M., Ismail, S.R.: Simulation modeling and analysis of multiphase patient flow in obstetrics and gynecology department (O&G Department) in specialist centre. Int. Conf. Appl. Math. Simul. Model. Proc. 9(10), 125–130 (2010)
Bahadori, M., Teymourzadeh, E., Ravangard, R., Raadabadi, M.: Factors affecting the overcrowding in outpatient healthcare. J. Educ. Health Promot. 6(1), 21 (2017). https://doi.org/10.4103/2277-9531.204742
Ahmed, S.Z.: Automated Queue Management System (2016)
Acknowledgements
Fundamental Research Grant Scheme (FRGS) No. K175 (FRGS/1/2019/STG06/UTHM/02/2) from the Ministry of Higher Education Malaysia (MOHE) and Universiti Tun Hussein Onn Malaysia (UTHM).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ting, N.R., Sufahani, S.F., Fahmy-Abdullah, M. (2022). Enhancing the Queuing Management System in Malaysian Public Hospital. In: Kaiser, M.S., Ray, K., Bandyopadhyay, A., Jacob, K., Long, K.S. (eds) Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering. Lecture Notes in Networks and Systems, vol 348. Springer, Singapore. https://doi.org/10.1007/978-981-16-7597-3_26
Download citation
DOI: https://doi.org/10.1007/978-981-16-7597-3_26
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-7596-6
Online ISBN: 978-981-16-7597-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)