Analysis Of Spatial Differences And Influencing Factors Of Medical Expenses For Medical Staff

Fairness and justice is the fundamental starting point of the socialist harmonious society and to build the equal basic public services in China is one of the important goals of building a harmonious socialist society.One of the important goals of socialist harmonious society is to achieve the equalization of basic public services in china.This requires that,we should be able to take into account the efficiency and fairness of the basic public services in space,and coordinate the quality and level of the basic public service.Through the study on the equalization of medical literature at home and abroad,the author found that there are significant differences between different regions and different groups of people.The Changes in health care policies and systems can reduce the inequality in health services and all the attributes of the population play a key role in the equalization of medical services?In recent years,in the country,China has promulgated many policies and regulations on medical service,but the phenomenon called "expensive to see the doctor" is still exists,The individual payment proportion can be a good measure of people using of medical services,and it is one of the main reasons for this phenomenon,It is very meaningful to study it.In recent years,foreign scholars and domestic scholars have conducted a lot of researches on the equalization of medical services,and they used the macro data as the research content,but the visualization results of expression is slightly lacking.Traditional methods often evaluate the level of medical and health services,through the number of medical institutions and medical institutions.Based on the micro data of Yunnan Province as an example,the integration of statistical model of geographic information system,econometrics,the authors explore the differences between medical services in various areas of Yunnan Province,and through empirical analysis,the author established the statistical model,and analyzes the influencing factors of medical service differentiation.In this paper,the author studies the medical service in Yunnan province by combining different systems,econometrics,statistical modeling and machine learning.The author analyzes the Yunnan Province workers mutual data,found that workers' personal burden ratio has spatial differences within the province,the city of Kunming the most significant,in order to explore the factors of personal burden ratio of spatial autocorrelation,this paper conducted a comprehensive evaluation of population structure of hospital costs,the results of the study showed that the population structure it has significant spatial effect in the province,and which Kunming is the most significant.The author takes Kunming city as an example,analyzes the influencing factors of personal burden ratio,the results show that the state has the highest effect on the percentage of the individual burden,followed by the nature of the unit,the district population sample,spatial effects,sex is the lowest,but in all counties within the scope,effect on individual burden of population the proportion is not significant,the most significant effect is the working state,followed by the nature of the unit,the minimum impact is gender.