Open Access Open Access  Restricted Access Subscription Access

Analysis of Delays Due to Waiting Lines in Healthcare Delivery for Sustainability


Affiliations
1 Dr. V.N. Bedekar Institute of Management Studies, Thane, Maharashtra, India
2 North Maharashtra University, Jalgaon, Maharashtra, India
 

Due to the increasing population and the rise in the infectious as well as chronic degenerative diseases, healthcare industry is growing at very fast. In healthcare services, it is generally observed that, it is difficult to manage system due to overcrowding and waiting lines. Therefore it is very important to resolve this waiting line problem, to avoid further major problems like loss of human life and havoc in the operations. Waiting line analysis (Queuing theory) is the mathematical and scientific approach to the system. The queue are formed due to the arrival rate of patients is faster than the hospital system can handle. It is applicable to healthcare settings where the systems have excess capacity to accommodate random variations. Also it suggests the system about the best solution to the system which is workable and reduce the long queues and bring optimization in the operations.

Keywords

Healthcare Delivery, Operations Research, Patients, Waiting Line (Queue), Waiting Line Analysis.
User
Notifications
Font Size

  • Buhaug, H. (. Long waiting lists in hospital BMJ, Nashik: ICOQM-10. 324, 252–3.
  • By Mor Armony, S. I.-T. 2015(January 19). On patient flow in Hopsitals: A Data-Based queuing-Science Perspective . NYU Stern School : Armony Et Al.
  • Cheng-Hua Wang, Y.-D. L.-I.-M. (March 2006). Application of Queuing Model in Healthcare Administr ation with Incorporation of Human Factor s. The Journal of American Academy of Business, Cambridge, 8 .
  • (2013 December). Emerging Trends : Indian Healthcare Industry . Onicra credit rating agency of India.
  • Geoff, R. (2011 July). Meeting Global Health challenges through operational research and management science. Bull World Health Organ , 89, 683–688.
  • INDUSTRY, E. T. (2013 December). Onicra credit rating agency of India.
  • Kiran Soni, P. (. (2011 June). An Empirical Study on applicability of waiting lines. IJMT , 19(1).
  • Mor Armony, S. I. (2015). On Patient Flow in Hospitals: A Data-based Queing - Science Perspective. Stochastic Systems , 5(1), 146–194.
  • Nkeiruka Ameh, B. S. (2013). Application of queuing theory to patient satisfaction at a tertiary hospital in Nigeria. Niger Med J., 54(1): 64–67.
  • Nkeiruka Ameh, B. S. (2013 Jan-Feb). Niger Med J. 2013 Jan-Feb; 54(1): 64–67. Niger Med Journal, 54(1): 64–67.
  • Rajeev Chadha, A. S. (2012). Lean and queuing integration for the transformation of health care processes: A lean health care model. Clinical Governance: An International Journal, 17(3), 191–199.
  • Resing, I. A. (March 26, 2015). Queuing Systems. The Netherlands: Department of Mathematics and Computing Science Eindhoven University of Technology .
  • Tabish, S. A. (2005). Hospital and Health Services Administration principles and Practice. Oxford.
  • Vohra, N. D. (2006 July 01). Quantitative Techniques in Management. Tata McGraw-Hill Education.

Abstract Views: 241

PDF Views: 91




  • Analysis of Delays Due to Waiting Lines in Healthcare Delivery for Sustainability

Abstract Views: 241  |  PDF Views: 91

Authors

Prema Mahale
Dr. V.N. Bedekar Institute of Management Studies, Thane, Maharashtra, India
B. B. Deshmukh
North Maharashtra University, Jalgaon, Maharashtra, India

Abstract


Due to the increasing population and the rise in the infectious as well as chronic degenerative diseases, healthcare industry is growing at very fast. In healthcare services, it is generally observed that, it is difficult to manage system due to overcrowding and waiting lines. Therefore it is very important to resolve this waiting line problem, to avoid further major problems like loss of human life and havoc in the operations. Waiting line analysis (Queuing theory) is the mathematical and scientific approach to the system. The queue are formed due to the arrival rate of patients is faster than the hospital system can handle. It is applicable to healthcare settings where the systems have excess capacity to accommodate random variations. Also it suggests the system about the best solution to the system which is workable and reduce the long queues and bring optimization in the operations.

Keywords


Healthcare Delivery, Operations Research, Patients, Waiting Line (Queue), Waiting Line Analysis.

References