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Objective:To establish a calculation model for the operational efficiency and resource allocation of clinical departments in hospitals, for references for hospitals to optimize resource allocation.Methods:The informations including hospitalization time, nursing grade, etc. of inpatients admitted by 32 clinical departments in a tertiary public hospital from January to December in 2021 were extracted. A data envelopment analysis method was conducted on the operation efficiency and input edundancy of the departments. The K-means algorithm was used to divide inpatients into 3 categories according to the level of medical workload. Taking the numbers of doctors, nurses and beds as the input indicators, and the numbers of patients in the 3 categories as the output indicators, a BCC model 1 was established to evaluate the efficiency of resources invested by clinical departments into professional human value. At the same time, a BCC model 2 was established with the total number of patients admitted and medical income as the output indicators to evaluate the efficiency of resources invested by clinical departments into economic benefits.Results:A total of 38 147 inpatients were enrolled. There were 14 departments with overall technical efficiency (OTE) =1.000 in the BCC model 1, 10 departments with OTE=1.000 in the BCC model 2, and 8 departments with OTE=1.000 in the 2 models. As for the input redundancy, 6 departments had high input redundancy in the BCC model 1, 11 departments had high input redundancy in the BCC model 2, and 4 departments had high input redundancy in both models.Conclusions:The model established by this study could effectively evaluate the operational efficiency and input redundancy of clinical departments, identify departments with high workload and low economic benefits, and provide reference for the rational allocation of medical resources in hospitals.
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Objective:To analyze the operation efficiency of hospitals in 31 provinces in China from 2009 to 2019 based on the three-stage data envelopmeni analysis(DEA) model, for references to improve the operation efficiency of hospitals in China and promote the high-quality development of public hospitals.Methods:The data came from such sources as China health statistics yearbook and China general hospital ranking list of Fudan university.The number of hospitals, health technicians and beds in 31 provinces of China from 2009 to 2019 were used as input indicators, while that of hospital patients, discharged patients, hospitalized patients, reputational scoring of superior specialties and academic scoring of scientific research were used as output indicators.Government health expenditure, per capita GDP, population density and the proportion of tertiary hospitals were used as environmental variables.The three-stage DEA model was used to calculate the hospital operation efficiency and scale reward.Results:The environmental variables affected the operation efficiency of hospitals in China( P<0.05). After removing the impact, the average of comprehensive efficiency, pure technical efficiency and scale efficiency of hospitals in 31 provinces from 2009 to 2019 were 0.703, 0.961 and 0.726, respectively.Among them, the scale benefit of hospitals in 4 provinces remained unchanged, while those in 26 provinces increased progressively and 1 province decreased progressively. Conclusions:Pure technical efficiency could be the main factor to improve the operation efficiency of hospitals in China, while the low scale efficiency will affect the improvement of the operation efficiency of hospitals.The scale efficiency of hospitals in most provinces had great room for improvement.In order to improve the overall hospital operation efficiency in China, the authors suggested to expand hospital scale based on the precondition of quality, promote balanced distribution of high-quality medical resources, and play the positive role of the social, economic and environment variables.
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Objective: To assess and analyze the operation efficiency of 8 commission general public hospitals managed directly by National Health and Family Planning Commission and 8 municipal general hospitals managed directly by Beijing Municipal Administration of Hospitals in Beijing and to provide suggestions on improving service capacity and designing relevant health policy.Methods: Input and output data of 8 commission hospitals and 8 municipal hospitals were obtained from Beijing Direct-Reported Health Statistics data from 2011 to 2014.Data envelopment analysis was used as the hospital operation efficiency measurement tool.The CCR and BCC models were built to calculate technical efficiency (TE), pure technical efficiency (PTE), scale efficiency (SE) and the status of scale efficiency of 16 hospitals in 2011 and 2014;the Malmquist index model was built to analyze the total factor productivity change (TFPC), technological change (TC), technical efficiency change, pure technical efficiency change and scale efficiency change of the 16 hospitals from 2011 to 2014.Results: In 2011, the TE, PTE and SE of the commission hospitals were higher than those of the municipal hospitals, and the TEs of the commission hospitals and the municipal hospitals were 0.918 and 0.873 respectively.In 2014, the TE, PTE and SE of commission hospitals were lower than those of the municipal hospitals, and the TE of the commission hospitals and the municipal hospitals were 0.906 and 0.951, respectively, which was contrary to the results in 2011.According to the Malmquist index model, the average of TFPC of the municipal hospitals was larger than that of the commission hospitals, the former increased 5.9% and the latter increased 2.8% per year;the average of TC was greater than the one in both the municipal hospitals and the commission hospitals, with a growth of 3.2% and 2.9% per year, respectively;the average growth of PTE in the commission hospitals was lower than that of the municipal hospitals, and the average descent of SE in the commission hospitals was larger than that in the municipal hospitals.Conclusion: There are significant differences in the operation efficiency between different management systems and the main factors associated with operation efficiency are the technological and management level.Given scale efficiency status and macroeconomic medical policies, the commission hospitals and the municipal hospitals require further adjusting the distribution of medical resources, and it is of great significance for all the commission hospitals and the municipal hospitals to improve the management level and resource integration capability.
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Objective: Based on the input-output efficiency evaluation index system of community health service system, analyze the operating efficiency of community health service system in Hunan. Methods:Use the ultra efficiency DEA model to analyze public health service projects and health statistics report data. Results: Community health service resources in Hunan are not fully utilized and the operating efficiency is also unbalanced;decreasing returns to scale occurs in 1/3 cities, which is shown concretely as following: technical efficiency is lower than the scale efficiency and personnel agency input redundancy coexists with service output volume deficiency. Conclusion: Improving the basic quality of community health technical personnel’s and guiding the rational development of community institution scale are the issues need to concern in the process of further perfecting the community health service.
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Objective To explore operating efficiency of county-level public hospital by using data envelopment analysis ,provide reference ,and basis for health decision-making .Methods The health resources data of 16 county-level public hospitals were ran-domly selected from 2008 to 2011 ,its relative efficiency were studied by data envelopment analysis method of CCR-CRS and BCC-VRS model ,the change trend from 2008 to 2011 were analyzed through the Malmquist productivity index .Results The average ef-ficiency value was 0 .938 in 16 county-level hospitals in 2011 ,7 hospitals was DEA efficient and 9 hospitals was non-DEA efficient (8 hospitals with Scale efficiency decline gradually ,another one with increasing gradually ) .The total factor productivity increased 2 .5% from 2008 to 2011 average annual ,the productivity first decreased from 2008 to 2009 ,and then increased from 2009 to 2011 . Conclusion The overall efficiency 16 county-level hospitals is not high ,it is necessary to develope hospital scale reasonable , strength hospitals′management level and improve technical ability of doctors .
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OBJECTIVE:To evaluate the performance of merger and acquisition (M&A) of listed pharmaceutical companies over 3 years from 2000 to 2002. METHODS: Based on the financial data of the listed companies in 26 cases, a data envelopment analysis was performed to compare and evaluate the efficiency of the companies before and after M&A. RESULTS: The efficiency was reduced in the first 3 years after M&A, but increased started from the fourth year. CONCLUSIONS: M&A did not promote the efficiency of listed pharmaceutical companies.
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This work was done to study employees' recognition about various factors to influence the operation efficiency of materialmanagement-information-system(MMIS). The results were as follows : First, it was investigated in a technical point of view that factors to influence tangible effectiveness include the improvement of data and information quality, efficiency of inventory management and formality of the reschedule management system. In a point of management view, the role of a top manager was the most important factor. Secondly, various factors such as simplicity of the management system, the resistance of change, and the encouragement of user's participation were estimated to influence intangible effectiveness in a organization view. Consequently, it was shown in the present study that the improvement of the operation efficiency of the MMIS requires the development of a model which can interconnect various information systems effectively.