• DocumentCode
    2995875
  • Title

    Demand prediction of Heilongjiang professional health technicians: Based on gray dynamic model

  • Author

    Li Fang ; Yang Chao-jun ; Xu Jian-zhong ; Li Meng-lu

  • Author_Institution
    Sch. of Econ. & Manage., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    1939
  • Lastpage
    1945
  • Abstract
    Professional Health Technicians are strategic resources of the development of health service, and the significant support of deepening the reform of pharmaceutical and healthcare systems in china. In view of the current situation of professional health technicians in Heilongjiang province, this paper first makes an analysis of major problems revealed in group of professional health technicians in Heilongjiang province, and then designs a Grey Dynamic Prediction Model according to Grey System Theory, and subsequently forecasts the demand of Heilongjiang professional health technicians from 2011 to 2020, and finally in accordance with forecasting results, proposes corresponding countermeasures for talents accumulation based on the notion of talent development-“Developing, Introducing, Retaining”, in order to shed some light on construction of Heilongjiang professional technicians.
  • Keywords
    grey systems; health care; human resource management; pharmaceuticals; China; Heilongjiang professional health technicians; demand prediction; grey dynamic prediction model; grey system theory; health service; healthcare systems; pharmaceutical systems; Data models; Educational institutions; Mathematical model; Pharmaceuticals; Predictive models; accumulation countermeasures; demand prediction; grey dynamic model; professional health technicians;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2012 International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4673-3015-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2012.6414436
  • Filename
    6414436