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Objective:The cluster analysis method was applied to evaluate the scientific research performance evaluation index system of departments in an obstetrics and gynecology hospital, and analyze the weaknesses of scientific research work of various departments, to provide a basis for the improvement of scientific research strength of departments.Methods:On the basis of the scientific research performance evaluation index system of departments in the obstetrics and gynecology hospital, the indicators and weights of the system were optimized through expert consultation, and the scientific research values from 2019 to 2021 were brought into the optimized scientific research performance evaluation index system to calculate the scientific research scores of each department, and then the cluster analysis method was applied to evaluate the index system.Results:Before and after the optimization of the scientific research performance evaluation index system of departments, the conformity with the discipline classification was 76.00% and 96.67% respectively ( P=0.039). In total of 30 departments were clustered into 4 categories: excellent (7), good (7), medium (4), and concerned (12). The average score of the total scientific research performance evaluation indicators of the 4 categories of departments was 15.022. The highest average score was for papers and monographs, and the lowest was for awards. Conclusions:This study applied the cluster analysis method to evaluate the scientific research performance evaluation index system of departments in the obstetrics and gynecology hospital and replaced quantitative indicators with quality indicators. It will optimize and improve the hospital hierarchical management methods, provide data support and classified guidance for the scientific research development of different categories of departments, and provide a reference basis for hospitals to formulate scientific research management policies such as achievement transformation, award, industry standard guidelines, etc.
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Objective:Data envelopment analysis (DEA) was applied to evaluate the evaluation index system of scientific research performance of hospital departments.Methods:Based on the three-level index assignment of the constructed evaluation index system of scientific research performance of hospital departments, the relevant data of departments are calculated. Scientific research projects, talent team and scientific research platform are taken as input indexes, papers, awards, patents, published monographs/papers, professional standards and guidelines, as well as achievements transformation are taken as output indexes, and departments are taken as evaluation units. Data envelopment analysis software is used to evaluate departments Results of scientific research performance evaluation, redundant input and insufficient output.Results:The average comprehensive technical efficiency of 25 departments is 0.404 8, the average pure technical efficiency is 0.837 1, and the average scale efficiency is 0.428 3. Among them, 7 departments are generally efficiency, 17 departments obtained pure technical efficiency, 7 departments obtained scale efficiency.Conclusions:The analysis results can provide a reference for the scientific research development of the department. On the basis of building a reasonable talent echelon and assure the sufficient scientific research time, the hospital further optimizes and improves the scientific research performance evaluation index system and hierarchical management method of the Department.
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Objective:Constructing a scientific research performance evaluation index system based on the departments of a tertiary hospital in Xinjiang.Methods:Delphi method and the boundary value method are used to establish the scientific research performance evaluation indicators of the hospital clinical departments, then the analytic hierarchy process is used to determine the weights of indicators at all levels.Results:A scientific research performance evaluation index system of a tertiary hospital in Xinjiang was set up, which including 3 first-level indicators, 14 second-level indicators, and 49 third-level indicators.Conclusions:The departmental scientific research performance evaluation index system established has reasonable scientificity, objectivity and feasibility, and it can be used as a reference for the evaluation of scientific research performance of departments in the tertiary hospitals.
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Objective:To establish a performance evaluation index system and evaluation method for young scientists in hospitals, and to provide reliable evidence for management departments in evaluating, selecting outstanding young scientists and formulating tailored training programs.Methods:Literature analysis, expert consultation, analytic hierarchy process and data envelopment analysis were adopted in this article to evaluate the scientific research performance of young scientists in hospitals.Results:The scientific research data of young scientists under 45 years of age in Peking University Cancer Hospital from 2015 to 2019 were collected, and their scale efficiency and technical efficiency were analyzed by using index system and its weight and propose the improvement measures to achieve the purpose of evaluation and reform.Conclusions:This method is useful for the effective evaluation of the young scientists in the hospital, and is helpful to improve the level of scientific research management, as well as realize the virtuous circle of matching the input and output of scientific and technological innovation.
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Objective By using the approach of "hierarchy three-level index system",this study aims at achieving precise scientific research performance evaluation,improving the proportion of high-tech products,and complementing the accumulative effect of conventional evaluation system.Methods This study transforms the conventional "plat three-level index system" into ‘hierarchy three-level index system',which consists of three levels of indexes,namely the national level,provincial level and local level.Candidates are categorized into three echelons according to the criteria for inclusion.Candidates of each echelon are evaluated and ranked by three-level indexes.Fuwai hospital's scientific advanced departments and individuals were evaluated by these two methods mentioned above,and the results were compared.Results These two index system are basically the same regarding to the overall evaluation pattern.Hierarchy three-level index system better displays the‘ quality strategy',allowing units with greater proportion of high-tech products to stand out as well as reducing the accumulative effect of massive production of medium-and-low-end products.Conclusions "Hierarchy three-level index system" is the remedy for the deficiencies of the conventional "plat three-level index system",it improves the reliability and validity of technology evaluation.Therefore,the system will contribute to the selection of scientific brains and the establishment of technology innovation system.
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Objective The study built a scientific performance assessing model by using information technology to construct an intelligent reviewing system,in order to provide intelligent and normalized evaluation services for scientific research performance.Methods A comprehensive and novel practical scientific performance reviewing system was established to provide objective evaluation of scientific output,which was based on accumulated experience in Fuwai Hospital and ample discussion by the experts of academic committee.Results Scientific performance assessment service,which carried out by the collaboration of scientific research management department and informational technology center,were including senior professional title self-assessing system,annual scientific research performance assessing system on both the department basis and individual basis.All the service received satisfactory effect making the assessing service from manual to intelligent.It helps the assessment result turn into openness,fairness and justice.The establishment of the intelligent scientific performance assessing system broaden the mind and provide the basis for the further scientific reward self-evaluation,scientific project application conditions filtering,technology professionals intelligent screening,supervising qualification self-evaluation and scientific project self-reviewing etc.Conclusions The establishment of scientific performance reviewing system effectively avoided the subjective influence,provided timely,highly efficient and accurate evaluating service and comparative analysis,enabling the assessment result much more objective and fair.It merits the promotional value.
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Objective Through analyzing the scientific research performance of recruited doctors in Nanjing Drum Tower hospital,we can understand its current situation and problems,and then provide reasonable suggestions to promote the recruited doctors' scientific research capacity.Methods Descriptive statistics was used to analyze the projects application and outputs in scientific research.Results The proportion of recruited doctors who received National Natural Science Fund Youth Project has been increasing every year (the average growth rate is 16.46 ％).Many recruited doctors gained projects in the first year after admission(25.33％),but still 40.14％ of these doctors did not gained any project.Each recruited doctor published 1.58 SCI papers on average (19.33％).Conclusions We should innovate the training system,optimize the construction of scientific research platform,establish hospital science project,and implement scientific evaluation system to mobilize these youth talents comprehensively.
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Objective Fuwai Spider Track Map (FSTM) is a scientific performance appraisal system established by the scientific research department of Fuwai Hospital.This study aimed to apply FSTM to the ranking and evaluation of scientific and technological influence and competitiveness of tertiary hospitals in China,comparison also conducted with othertraditional systems.Methods Tertiary hospitals consecutively selected as the national top 100 tertiary hospitals for 4 years from 2014 to 2017,according to the scientific and technological influence ranking list published in the official website of the Institute of Medical Information of Chinese Academy of Medical Sciences,were included.Total score,number of hospital staff and beds of these hospitals,accessed from the official website,were taking into account as reference data.Re-evaluation and ranking using FSTM was performed to evaluate and rank the scientific and technological influence and competitiveness.Besides,comparison analysis with traditional methods was conducted to identify the differences and similarities,advantages and disadvantages.Results The total quantity index and the per capita index represent the total research productivity and effectiveness,in other words,scientific and technological influence and competitiveness,respectively.The FSTM may integrate both indexes and avoid the disadvantages of single dimension evaluation.Conclusions Unlike the static results of traditional system,as a 3-dimentional method,FSTM may not only perform comprehensive but also evaluation of type,stratification and classification.It makes the hospitals in same type more comparable and provides multiple references for decision makers bv offering guidance and reference for the evaluation objects.
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Objective Taking into account of the actual scientific research conducted at medical universities in Yunnan Province,Southwest China,to develop an appropriate evaluation index system of scientific research performance.Methods main methodologies and procedures adopted to develop the evaluation index system include literature analysis,Delphi method,Group Analytic Hierarchy Process and Expert authority calculation.Results The evaluation index system of scientific research performance consists of scientific research input index system and output index system.The scientific research input index system includes financial input and human resources input as two primary indicators.While the scientific research output index system is made up of two primary indicators,named quantitative output and qualitative output.There are another six second-level indicators,six third-level indicators and 37 fourth-level indicators to make up of the quantitative output index system.Calculation of the indicator weight will consider the natures of different units or departments,the mixed analysis of quantitative and qualitative methods,as well as one-vote veto decision were adopted to make sure classified assessment were actually implemented during the evaluation process.Conclusions The index system is suggested to be used for evaluating scientific research performance in different colleges or departments.Adopting such system can help the management of scientific research performances at both micro-and meso-levels.It may also inspire more researchers and research management personnel in a broader sense.
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Objective The ‘Spider Track Map (Fuwai)’is an innovative tool for comprehensive evaluation of scientific research performance.It was developed jointly by the Science & Research de partment and Medical Research & Biometrics Center in Fuwai Hospital.This tool aims to evaluate the development of scientific performances in 3 consecutive years of targeted departments,which will be considered to assess the technological competitiveness of each department.Methods The key variables were the number of projects,funding,awards,publications and patents during the last three years.After standardization,the weighted sum of those variables was calculated.Then the ‘Spider Track Map (Fuwai) ’ could be generated and the evaluation conclusion would be obtained after stratification.Results The ‘Spider Track Map (Fuwai)’ method had been used to evaluate the scientific research performance in 2015.The excellent research departments had been successfully elected and rewarded.Conclusions Beside the excellent department election,the method can also identify different feature of performance including improved,retrogressive,high efficiency or no changes.This multidimensional tool provides the reference to administrators for scientific commendation and reward and also the guid ing and alerting for specific department.
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Objective To explore the development and optimization of scientific research performance evaluation system (SRPES) in affiliated hospitals of university.Methods Take Xi'an Jiaotong University Second Affiliated Hospital as an example,summarize and conduct statistical analysis of SRPES data in past ten years.Results Along with the development and optimization of SRPES,the hospital makes a breakthrough in personnel training,the development of discipline construction is remarkable,the scientific research output also presents a better development trend.Conclusions Continuing navigation and improvement of SRPES and incentive policies play an important role in guiding the development of scientific research with stated objectives.
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Objective This article was aimed to take exploratory evaluation on the scientific research performance of provincial key disciplines in a medical university,and to provide a scientific basis for the discipline evaluation related topics.Methods This paper took 29 provincial key disciplines in a medical university as the evaluation system.We calculated the scientific research performance of key disciplines.Data envelopment analysis (DEA) method was used to evaluate the scientific level of performance,while the use of TOPSIS and gray correlation analysis method to rank the efficiency of its research,and the results obtained by the three methods was used for statistical correlation analysis.Results According to the results calculated by DEA Method,there were 18 DEA efficient units and 11 non-DEA efficient units.While in this 11 non-DEA efficient units,8 of them needed to reduce re source inputs and the other 3 units needed to increase research outputs.Meanwhile there were significant positive correlations between evaluation results of TOPSIS Method andGrey Correlation Analysis Method with Data Envelopment Analysis Method,respectively [the correlation coefficient:rs 1 =0.797(P =0.000); rs 2=0.583(P =0.007); rs 3-0.536(P =0.003)].Conclusions Compared to TOPSIS Method and Grey Correlation Analysis Method,DEA Method not only could evaluate the ef fectiveness of discipline,but also provide evidence to improve the non-DEA efficient units.
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This text expounds the basic ideas of BSC(balanced score card) and shares the management practice of scientific research in Fujian Provincial Hospital in terms of finance,customs,procedures as well as the study and growth of staff.Through applying the concept of BSC,the scientific research administration has been upgraded and has hospital-scientific research performance has been improved.It provides innovative idea for scientific-research administration.