Design of a Multi-Priority Triage Chair for Crowded Remote Healthcare Centers in Sub-Saharan Africa

  • Santhi KumaranEmail author
  • Jimmy Nsenga
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 530)


Remote healthcare centers located in sub-Saharan of Africa are still facing a shortage of healthcare practitioners, yielding long queue of patients in waiting rooms during several hours. This situation increases the risk that critical patients are consulted too late, motivating the importance of priority-based patient scheduling systems. This paper presents the design of a Multi-Priority Triage Chair (MPTC) to be installed at the entrance of patient’s waiting rooms such that each new patient first sits in the MPTC to measure its vital signs and register his/her other priority parameters such as arrival time, travel time or distance between the concerned center and its home, and so on. The proposed MPTC will then update in real-time the consultation planning in order to statistically minimize (i) the number of critical patients not treated within a pre-defined waiting time, (ii) the number of patients waiting for more than a pre-defined period and (iii) the number of patients living relatively far who gets their consultation postponed to another day.


Triage Priority Patient Scheduling vital signs scarce resource management 


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  1. 1.
    World Health Organization (WHO): World Health Statistics 2015. Available from
  2. 2.
    Obamiro, J.K.: Queuing theory and patient satisfaction - An overview of terminology and application in ante-natal care unit, Bulletin Vol. LXII No. 1/2010, Economic Sciences Series, Petroleum-Gas University of Ploiesti, Romania.Google Scholar
  3. 3.
    Mirhaghi A, Kooshiar H, Esmaeili H, Ebrahimi M.: Outcomes for Emergency Severity Index Triage Implementation in the Emergency Department. Journal of Clinical and Diagnostic Research : JCDR. 2015;9(4):OC04-OC07. doi: 10.7860/JCDR/2015/11791.5737.
  4. 4.
    Mizumoto, T., Sun, W., Yasumoto, K., Ito, M.: Transportation Scheduling Method for Patients in MCI using Electronic Triage Tag, eTELEMED, pages 1–7, 2011Google Scholar
  5. 5.
    LaMantia MA1 et al.: Predicting hospital admission and returns to the emergency department for elderly patients. 2010 Mar;17(3):252-9. doi:  10.1111/j.1553-2712.2009.00675.x.Google Scholar
  6. 6.
    Sharif, A. B., Stanford, D. A., Taylor, P. & Ziedins, I. : A multi-class multi-server accumulating priority queue with application to health care. Operations Research for HealthCare 3(2), 73–79Google Scholar
  7. 7.
  8. 8.
  9. 9.
    Rui Duarte , Zulian Liu: “Visensia for early detection of deteriorating vital signs in adults in hospital”, August 2015,
  10. 10.
    L. Kleinrock: A delay dependent queue discipline. Naval Research Logistics Quarterly, 11(3-4):329–341, 1964Google Scholar
  11. 11.
    Lo, Owen et al.: Patient simulator: towards testing and validation. In: Pervasive Health 2011. ICST, Dublin.Google Scholar
  12. 12.
    Lin D et al.: Estimating the waiting time of multi-priority emergency patients with downstream blocking. Health Care Management Science. 2014;17(1):88-99. doi: 10.1007/s10729-013-9241-3 Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.University of RwandaKigaliRwanda
  2. 2.CETICGosseliesBelgium

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