Grey prediction model for medical institutions of health workforce quantity prediction research
10.3969/J.ISSN.1672-8270.2015.12.007
- VernacularTitle:灰色预测模型对医疗机构卫生人力数量预测研究
- Author:
Qingyun LI
;
Ying XU
;
Yuntao ZHAO
- Publication Type:Journal Article
- Keywords:
Gray model;
Health human resources quantity;
Prediction
- From:
China Medical Equipment
2015;(12):20-22,23
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To realize Tangshan City’s medical institutions of health and human resources. Methods: Using gray predict model to prognosis Tangshan City’s main medical human resources, and find out the phenomena of lacking of medical administrative staff, disproportional of nursing staff, and shorting of assistant departments staff, such as pharmacy and medical laboratory.Results: In the next few years, we should focus on strengthening the ability of the health technical personnel, except practicing(assistant)doctors.Conclusion:Through increasing the orientation training and recruitment, improving treatment, changing ideas, etc, to achieve the rationalization of health personnel allocation. In order to coping with health care reform, we should complete the allocation and reserve of health human resources.
