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A dynamic forecasting model for nursing manpower requirements in the medical service industry

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  • Soong Chung
  • Doo Jung
  • Seong Yoon
  • DonHee Lee

Abstract

Today there is an increasing demand for quality health care throughout the world. Such demand requires the medical service industry to equip with high technologies and high caliber professionals (e.g., doctors and nurses), to contain cost and improve quality of care. Since the medical service industry constantly suffers from the shortage of nursing manpower, forecasting the supply and demand of nursing manpower is an important issue. This study proposes a forecasting model for nursing manpower requirement using system dynamics. Data were collected from authorized institutions in Korea and were used as inputs of the model. The results show that the demand for nursing manpower exceeded the supply during the forecasting period (2006–2020), which requires both national and the medical service industry attention for sustained quality health care. Copyright Springer-Verlag 2010

Suggested Citation

  • Soong Chung & Doo Jung & Seong Yoon & DonHee Lee, 2010. "A dynamic forecasting model for nursing manpower requirements in the medical service industry," Service Business, Springer;Pan-Pacific Business Association, vol. 4(3), pages 225-236, December.
    • Handle: RePEc:spr:svcbiz:v:4:y:2010:i:3:p:225-236
    DOI: 10.1007/s11628-009-0092-4
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    References listed on IDEAS

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    Cited by:

    1. Juite Wang & Jung-Yu Lai & Li-Chun Hsiao, 2015. "Value network analysis for complex service systems: a case study on Taiwan’s mobile application services," Service Business, Springer;Pan-Pacific Business Association, vol. 9(3), pages 381-407, September.
    2. Sang-Man Kim & Arben Asllani, 2013. "Using simulation to establish appropriate vaccination rates and copayment policies from a cost perspective," Service Business, Springer;Pan-Pacific Business Association, vol. 7(3), pages 437-457, September.
    3. Luu Tuan, 2015. "From clinical governance through CSR and knowledge sharing to clinical error control," Service Business, Springer;Pan-Pacific Business Association, vol. 9(4), pages 687-709, December.
    4. Donghyun Choi & Yonghwi Noh & Jin Sung Rha, 2019. "Work pressure and burnout effects on emergency room operations: a system dynamics simulation approach," Service Business, Springer;Pan-Pacific Business Association, vol. 13(3), pages 433-456, September.
    5. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.

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