Evaluation the Performance of Health Care System Based on Fuzzy Reasoning

Abstract:

With the development of the economy and the growth of people, health problem become more and more important, and performance of the health care system need operate effectively. The paper evaluates the performance of health care system from effectiveness, equity, and efficiency. It compares four countries’ health care systems based on fuzzy reasoning method. The C-values of the health care system of Niger, China, Denmark and United States are 53.72, 22.87, 0 and 4.93. The result coincides with the fact very well. We use least squares method to get the predicted value of metrics and reevaluate the health care system and the predicted health system is better than the existing health care system.

• Periodical: Applied Mechanics and Materials (Volume 274)
• Pages: 535-538
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.274.535
• Online since: January 2013
• Authors: Ya Jiang Zhang, Tai Fa Zhang
• Keywords: Fuzzy Reasoning, Health Care System, Least-Square Method (LSM)

References

[1] Beverly Sibthorpe. A Proposed Conceptual Framework for Performance Assessment in Primary Health Care. Australian Primary Health Care Research Institute (2004).

DOI: 10.1071/py07027

[2] Sun yong hong, Bao jiang bo. The comprehensive evaluation of output quality of medical research project by close-value methods (2003).

[3] Allison L. Greenspan etc. Global Public Health Security. Guénaël Rodier, Vol. 13, No. 10, October (2007).

[4] World Health Organization. The world health report 2007: A safer future, August (2007).

[5] Christopher Murray, Julio Frenk. World Health Report 2000: a step towards evidence-based health policy (2000).

[6] http: /www. statistics. gov. uk/cci/nugget. asp?id=168. (2008).