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Optimization of Nurse Numbers in Emergency Department of a District Hospital in a Developing Country Iran, 2014

Author

Listed:
  • Ali Janati
  • Djavad Nejad
  • Mehdi Ariafar
  • Seyyedeh Roghayyeh Mirshojaee
  • Mohammad Mahdavi Moghaddam
  • Saaied Ghodousi Nejad
  • Majid Ghodousi Nejad
  • Morteza Arab Zozani
  • Ali Vafaee
  • Elham Baghban Baghestan

Abstract

Background- this study aims to optimize nurse numbers in emergency department of a district hospital in Iran using linear programming.Material and methods- through observation and checklist data about average patient arrival, delivery time of care services needed for patients and number of nurses were obtained. Using linear programming optimum number of nurse needed for right delivery of services was calculated.Results- optimum number of nurses was calculated as 12 nurses, but because of some issues in 3rd shift, real number of nurses needed for a 24 hours period is equal to 16 (12+4) nurses (12 as minimum needed plus nurses who stay and don’t leave the 3rd shift till tomorrow morning).Conclusion- Using LP models can be useful for estimating optimum number of nurses for different wards of hospitals, so they can reduce their costs and reach more productivity.

Suggested Citation

  • Ali Janati & Djavad Nejad & Mehdi Ariafar & Seyyedeh Roghayyeh Mirshojaee & Mohammad Mahdavi Moghaddam & Saaied Ghodousi Nejad & Majid Ghodousi Nejad & Morteza Arab Zozani & Ali Vafaee & Elham Baghban, 2016. "Optimization of Nurse Numbers in Emergency Department of a District Hospital in a Developing Country Iran, 2014," Modern Applied Science, Canadian Center of Science and Education, vol. 10(5), pages 1-41, May.
    • Handle: RePEc:ibn:masjnl:v:10:y:2016:i:5:p:41
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    References listed on IDEAS

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    1. Huguette Beaulieu & Jacques Ferland & Bernard Gendron & Philippe Michelon, 2000. "A mathematical programming approach for scheduling physicians in the emergency room," Health Care Management Science, Springer, vol. 3(3), pages 193-200, June.
    2. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
    3. P. Joustra & J. Wit & V. Struben & B. Overbeek & P. Fockens & S. Elkhuizen, 2010. "Reducing access times for an endoscopy department by an iterative combination of computer simulation and Linear Programming," Health Care Management Science, Springer, vol. 13(1), pages 17-26, March.
    4. D. Michael Warner & Juan Prawda, 1972. "A Mathematical Programming Model for Scheduling Nursing Personnel in a Hospital," Management Science, INFORMS, vol. 19(4-Part-1), pages 411-422, December.
    5. Marcie Pitt-Catsouphes & Christina Matz-Costa & Melissa Brown, 2011. "The Prism of Age: Managing Age Diversity in the Twenty-First-Century Workplace," Palgrave Macmillan Books, in: Emma Parry & Shaun Tyson (ed.), Managing an Age-Diverse Workforce, chapter 6, pages 80-94, Palgrave Macmillan.
    6. Jaumard, Brigitte & Semet, Frederic & Vovor, Tsevi, 1998. "A generalized linear programming model for nurse scheduling," European Journal of Operational Research, Elsevier, vol. 107(1), pages 1-18, May.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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