• Noemi B. Yntig Faculty of Nursing, Cebu Normal University,Philippines



Performance indicators are a popular mechanism for measuring the quality of healthcare to facilitate both quality improvement and systems management.The objective of this study is to analyze the health care system through work performance predictions among nurses globally. The researcher utilized a quantitative methodology by using artificial intelligence analysis. Data was collected through data mining analysis to identify patterns of relationship that existed between the variables and to measure the strength of the relationship, which in the case influence the age, staff adequacy, patient load, years of experience and types of working unit between the work performances of the nurses.  The study employed a quantitative methodology by using artificial intelligence. Data was collected through data mining analysis. The results indicate in age shows no dependence between the work performances, in increase staff adequacy does not consistent a positive result in work performance as well as result in patient load. However, the years of experience shows significant relationship between working performance result to decrease employees work performance. There was a sudden peak in work performance can be associate to a better result in the work performance. The researcher  concludes with some brief prospects that the health care system need to realize the importance of good working environment for maximizing the level of job performance.  This study may conclude the work performance is a key indicator play an important role for the success of any healthcare system that contribute significantly to the overall healthcare of the world. The performance therefore, has a great impact on quality and efficiency of healthcare. Hence, the researcher emphasized the importance of continuous monitoring and conduction of evaluation study   as an essential for an organization to motivate their employees to work hard for achieving the organizational goals and objectives


Healthcare Analysis, Performance predictions, Staff adequacy, Patient load


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How to Cite

Noemi B. Yntig. (2020). HEALTH CARE SYSTEM ANALYSIS THROUGH WORK PERFORMANCE PREDICTIONS. The Malaysian Journal of Nursing (MJN), 12(1), 106-112.