Objective:To analyze the changes in service efficiency and cost structure before and after implementing multidisci-plinary treatment in the GD19(appendectomy with perforation,suppuration,gangrene,etc.)and GD29(appendectomy)groups of pedi-atric specialty medical institutions.Methods:The case data of GD19 and GD29 groups of medical insurance patients in sample hospi-tals in Beijing from 2021 to 2022 were collected.Mann Whitney U test was used to analyze the changes of medical expenses and effi-ciency indicators,and intermittent time series model was established to analyze the change trend.Results:Compared to 2021,the av-erage hospitalization expenses of GD19 group in 2022 decreased by 2 462.00 yuan year-on-year,and that of GD29 group decreased by 2 042.60 yuan year-on-year(P＜0.05).Among them,the cost of medicines,consumables,examinations and tests and treatment have all decreased.In the month when the management measures were implemented,the average consumption cost of GD19 group de-creased by 920.00 yuan(P＜0.05),and the average consumption cost of GD29 group decreased by 632.50 yuan.The average length of stay in GD29 group decreased from 3.74 days to 2.78 days(P＜0.05).Conclusion:After the implementation of management mea-sures,the cost of drug consumables in GD19 group and GD29 group was controlled,the cost level was reduced,and the operation effi-ciency was improved.It is suggested to adhere to the management measures of selection of key DRG groups and multidisciplinary con-sultation,mobilize the management enthusiasm of clinical departments,and strengthen the demonstration and optimization of pediatric DRG grouping and payment scheme.

Objective:Efficiency is a key factor in the sustainable operation of the medical insurance system.By measuring the current efficiency of the urban employee basic medical insurance system in 31 provinces in China from 2020 to 2021,it discovers possible problems,and provides reference suggestions for improving the efficiency of the system.Methods:Using the super efficiency SBM model based on unexpected output and the Malmquist index to measure the static and dynamic efficiency of employee medical in-surance in 31 provinces in China,and using Tobit regression analysis to analyze its influencing factors.Results:The overall compre-hensive efficiency of the national employee medical insurance operation is 0.826 in 2020 and 0.827 in 2021 respectively.The efficien-cy of employee medical insurance operation in the eastern region is significantly higher than that in the central and westem regions.Over 60％of provinces have inefficient operation of employee medical insurance.The overall total factor productivity of employee medical insurance operation is showing a downward trend,and the decline in technological progress is the main limiting factor.The level of economic development has a significant promotion effect on the efficiency of employee medical insurance operation,and the degree of population aging has a significant inhibitory effect on it.Conclusion:The efficiency of employee medical insurance opera-tion in China still needs to be improved,and there is a significant efficiency gap among different regions.Therefore,investment and attention should be increased in the central and western regions to bridge regional gaps and promote the equity development of medi-cal insurance.Therefore,the reform efforts should be continuously intensified to achieve technological progress.In addition,attention should also be paid to the driving role of economic development in the efficiency of employee medical insurance operation and the for-mulation of positive policies on population aging.

Objective It aims to analyze the grouping methods,payment standard calculation process,and cost settlement rules of ambulatory payment groups(APG)system in the United States.Additionally,it seeks to summarize the technical advantages and implementation key points of APG,providing reference for the ambulatory care payment reform in China.Methods Employing a literature research approach,this study dissects the payment technology and implementation process of APG.A preliminary comparison is made with the practices of APG pilot cities in China.Results The APG 3.18 version catalog comprises 13 types,61 categories,and 666 groups.One APG case can be classified into multiple APG groups,and by applying rules such as consolidation,packaging,and discounting,the final payment amount is calculated.Conclusion The APG payment technology aligns with the characteristics of outpatient health services,offering flexible payment methods and incentivizing healthcare institutions to provide efficient services.This holds significant reference value for the ambulatory care payment reform in China.The key points of APG implementation include improving the quality of outpatient data,localizing grouping and payment rules,establishing a regulatory assessment indicator system,and ensuring alignment with inpatient payments.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.