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Objective:To build and optimize the academic performance evaluation system and process of medical colleges, and to provide reference and support for the construction of "double first-class" medical colleges.Methods:Based on CIPP model (context, evaluation, input evaluation, process evaluation and product evaluation), this paper studied the evaluation method of "double first-class" university academic performance analysis, constructed the evaluation model of medical colleges academic performance from four elements of reflecting the background, input, process and results of academic research activities, established the evaluation process, and selected 10 universities for empirical research.Results:The comprehensive weight was obtained by entropy weight method and expert scoring method. The relative proximity between each evaluation object and the optimal scheme was calculated by technique for order preference by similarity to an ideal solution (TOPSIS) method, and the comprehensive calculation value of academic performance level of each university was obtained.Conclusion:The construction of academic performance evaluation system of universities based on CIPP model and entropy weight TOPSIS method is an effective discussion and expanding research on academic evaluation of colleges, and can provide references for the analysis of academic performance with medical characteristics.
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OBJECTIVE To clarify the core content of traditional Chinese medicine （TCM） policy in the provinces of China， so as to provide reference for optimizing the structure of the policy system of traditional Chinese medicine in China and assisting the inheritance and innovation of TCM industry in various regions. METHODS The websites of directly affiliated organs in 31 provinces， excluding Hong Kong， Macao and Taiwan， were retrieved to collect the TCM policies released from 2000 to 2021. The importance of keywords in the TCM policies of each province was measured based on term frequency-inverse documentation frequency （TF-IDF） keyword extraction method， and the similarities and differences were analyzed among TCM policies. RESULTS & CONCLUSIONS A total of 99 documents related to TCM policies of various provinces were obtained in this study， most of which were released after 2016. The theme of national TCM policy covered four aspects： building TCM talent team， perfecting TCM service system， strengthening TCM resource management and promoting TCM industry innovation. The TF-IDF values of “medical institutions”“traditional Chinese medicine”“medical treatment” were higher than other keywords in each province， indicating that the provinces paid more attention to the construction of TCM service system and the management of TCM resources than other aspects. Anhui and Jiangsu， Beijing and Henan， Hubei and Jilin， Hubei and Tianjin， and Hubei and Yunnan had the more degree of similarity in TCM policies， which all contained 16 of the same keywords. Therefore， the above regions should be encouraged to strengthen exchanges and cooperation and realize mutual promotion and joint development. Among all the keywords whose importance ratio was greater than 0.2，“ Tibetan medicine” was unique to Qinghai and Tibet，“ disease type” was unique to Guangdong， and the TF-IDF value of “supervision and management” in Beijing was higher， indicating that the emphasis of TCM policy formulation in different provinces was various. Meanwhile， the top 10 keywords of TF- IDF value in all provinces did not have words related to financial input， and the TF-IDF values of “informatization” in most provinces did not rank at the top. It is suggested to increase financial input or encourage social financing， and add “Internet+new business” in the field of TCM.
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Objective:To comprehensively evaluate the scientific and technological innovation capability and efficiency of hospitals and provide references for effectively promoting their high-quality development in scientific innovation.Methods:The indexes of 69 tertiary public general hospitals were collected in 2018. The science and technology innovation capability of these hospitals was evaluated using science and technology evaluation metrics(STEM), while their science and technology innovation efficiency was evaluated using the super-efficiency data envelopment analysis model. Then the matching relation of the two dimensions was analyzed, with outstanding hospitals identified using the skyline algorithm.Results:The STEM and science/technology innovation efficiency of 69 tertiary public hospitals averaged 29.61 and 0.960 respectively. Based on STEM and efficiency, the 69 hospitals were divided into four types: the type of high capability and efficiency comprising 9 hospitals(13.04%), that of high capability and low efficiency comprising 16 hospitals(23.19%), that of low capability and high efficiency comprising 16 hospitals(23.19%) and that of low capability and efficiency comprising 28 hospitals(40.58%). Five hospitals(7.24%)were selected as outstanding examples of science and technology innovation.Conclusions:This study constructed a set of scientific and effective methods for comprehensively evaluating scientific and technological innovation capability and efficiency, for classifying the current state of science and technology innovation of a hospital and identifying outstanding ones. The assessment results could enable the hospitals to make targeted management measures.
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Objective:The research analyzed the current situation and trend of health science and technology innovation in China, developed the national health and health science and technology innovation index to estimate the development of health science and technology innovation in China.Methods:The research discussed the connotation and scope of National Health Science and technology innovation, designed the national health science and technology innovation index, and developed the evaluation index system that covered various aspects including innovation resources, innovation output, innovation environment.Results:The total index and sub-index of national health science and technology innovation index from 2011 to 2017 were calculated. Suppose the base number of 2011 was 100, the value of national health science and technology innovation index in 2017 was 201.73.Conclusions:By using multi-level indicators, the indicators that reflect the basic characteristics of scientific and technological innovation can be transformed into the overall indicators that comprehensively reflect the level of scientific and technological innovation, which can be used to monitor the overall development of health scientific and technological innovation and the situation of each innovation stage.
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Objective:To understand the current status and main models of transformation of medical patent in the World-class universities in China, carry out research on the transformation of scientific and technological achievements based on the perspective of patents.Methods:The registration data of assigned medical patent of 42 universities were collected to analyze the overall status of transformation, the cycle and the transfer flow of patent transfer. The main fields and themes involved in the transfer of patented technology are shown by cluster analysis methods. The prominent transfer mode of medical patents in the universities was discovered by analyzing the transferees of assigned patents.Results:Among 42 universities, medical patents transferred within ten years account for approximately 6% of authorized patents, and the average transfer cycle is 28 months, and transferees are business-oriented. The transferred patents cover more topics including hydantoin derivative, fucoidan sulfate, human papilloma virus, brain-computer interface and minimally invasive surgery. 88% of patents are based on the traditional direct patent technology transfer model. In addition, it also includes transfer modes such as transfer through the asset operating company, the spin-offs, the third-party intermediary, the institute, and the technology transfer center.Conclusions:The overall task of building a World-class university is heavier and the demonstration effect is more obvious. However, the status quo is that the proportion of transfer patents of the World-class university is still low, the transfer cycle is long, and the mode of transfer of scientific and technological achievements is relatively single and should be more innovative. The World-class universities should improve the quality of their own scientific and technological achievements, improve the results transformation mechanism, and constantly explore the mode of achievement transformation in a more tailored way.
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Objective To evaluate the scientific research efficiency of tertiary hospitals and analyze the influencing factors, providing reference for the decision-making of scientific research managers in China. Methods Evaluation indicators were collected from 100 tertiary hospitals in China, and their research efficiency was evaluated using Bootstrap data envelopment analysis (DEA) method. The influencing factors were analyzed using ordinary least square ( OLS) regression model. Results The averaged scientific research efficiency of these hospitals using Bootstrap DEA method was 0. 5224, lower than that using conventional DEA method (0. 0676), yet with a great variation (from 0. 1103 to 0. 8790) among them. Linear regression analysis showed that factors such as R&D input and output, and hospital types has statistical significance on the saentific research efficiency (P < 0. 05). Conclusions These hospitals are inefficient in scientific research with sizable room for improvement. Conventional DEA method should be used with caution, as deviations should be corrected with Bootstrap DEA method. The research development level and hospital types of their province can influence the research efficiency the hospitals significantly.
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Objective To apply the combination evaluation model in the comprehensive evaluation of sci-tech influence of hospitals in China.Method 42 Grade-Ⅲll hospitals were selected and evaluated by analytic hierarchy process (AHP),principal components analysis and entropy method.Kendall's coefficient of concordance (W) was applied to check the coherence of the evaluation results from the three methods above.Average method,Borda method,Copeland method and fuzzy Borda method were used for combining the single evaluation result.Spearman rank correlation was then used for testing whether the combination evaluation results matched the single evaluation result.Result Kendall's W correlation test showed consistency among three single evaluation results.A strong correlation between each combination evaluation result and the single evaluation result was observed by Spearman rank correlation analysis.The average method was chosen as the best method based on the Spearman rank correlation coefficient.Conclusion The study confirmed that the combination evaluation method can be applied in evaluating sci-tech influence of hospitals in China.
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Objective To identify the frontiers and hotspots in studies on lung cancer therapy by text mining. Methods PubMed-covered papers on lung cancer therapy were retrieved from 2013 to 2014 . The terms with a broa-der meaning were excluded by mapping the UMLS concept with MetaMap and by limiting their semantic types. A LDA model was established to identify the topics. Results The LDA model could identify the frontiers and hotspots in studies on lung cancer therapy from 2013 to 2014 . Conclusion Frontiers and hotspots in studies on lung cancer therapy can be identified by analyzing the topics and reading the related literature, which can thus provide reference for related medical researchers and managers.
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The paper analyzes the conditions of research on the current scientific literature text feature extraction methods,applies the TF-IDF method based on background knowledge in the medical text feature extraction,and conducts experimental comparison in four medical fields.The result indicates that this method can obviously improve the extraction effect when there are few vocabularies to be extracted,and is obviously superior to the IDF based TF-IDF method in the aspects of filtration of commonly-used words in the text set and identification of important feature words.
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Objective To optimize the indicator system of the scientific research influence of the tertiary hospitals in China for future use.Methods 200 tertiary hospitals was randomly selected in China and the indicator data were collected.Statistics methodologies including coefficient of variation,coefficient of correlation and principal component analysis were adopted to screen the indictors.Results 3 indicators including the number of researchers,the number of drug clinical trial institution and the cited frequency of the Chinese papers were removed in the new indicator system.There was high correlation between the modified indicator system and the primary one.Conclusions The optimized indictor system in our study is scientific and simple.It can be used for evaluating the scientific research influence of the tertiary hospitals in China.
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Data Envelopment Analysis (DEA) method is used to evaluate the efficiency of 41 tertiary hospitals in 2015 in Beijing.The possible causes of non-DEA effective hospitals are analyzed,and the direction and measures of non-DEA effective hospitals to promote scientific research efficiency are put forward.
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The paper puts forward the method for evaluation on the scientific influence of institution based on PageRank algorithm,configures the initial weight of each institution based on the problems of dividing equally the webpage weight number in the classical PageRank algorithm and cited frequency of the application chapter,constructs the network matrix cited by institution through the citation situation of medical SCI papers published by partial colleges and universities in 2015,respectively calculates the PageRank values of institution when self-citation is excluded or included,and conducts comparative analysis on the sequence of cited frequency indicators of the institution as well as H index.This method can be used to evaluate scientific influence of institution from two dimensions of quality and quantity.
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Objective To systematically assess the application status of evaluation indicators of research efficiency in research institutions in China.Methods Literatures published before August 2016 were searched and retrieved from CNKI and Wanfang Database.Results 112 indicators used in 72 literatures were merged and analyzed.According to the usage frequency not less than 10％ and the top usage frequency in each indicator group,the main input indicators involved the number of total researchers and the total research funding.The output indicators mainly focused on the number of monographs,the number of academic papers,the number of patents granted,the number of research projects,the number of awards and the amount of money charged for technology transfer.Conelusions The indicators obtained from the previous research could provide a reference for the research efficiency evaluation of medical institutions in China.
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Multidimensional features ( life cycle features, universal acceptability, authority, innovation and inter-disciplinarity) of frontier knowledge and their measurement methods were determined according to the current scien-tific achievements in order to help scientific workers and decision makers timely discover and accurately recognize frontier knowledge.The framework for studies on frontier knowledge discovery in medical field was proposed with its key problems explained in order to provide reference for its future study.
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After the factors that influence the selection of words were analyzed according to the problems in selec-tion of words for co-word analysis, a hypothesis for how to select the word sets with its verification analysis was pro-posed, the method for selecting words was thus decided according to the word frequency-covered literature area and the number of high frequency words. However, its practical use in large data sets needs to be further improved.
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A co-word matrix was constructed with PubMed-covered papers on breast cancer-related enzyme from 2009 to 2011 and from 2012 to 2014 as its data source.The papers were double clustered by gCULTO to generate class groups and identify the breast cancer-related enzyme research frontiers and the evolution of different class groups.
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A model for measuring the impact of Chinese papers published by hospitals in China was established, followed by an analysis of the contribution of the total citations, the number of fund-supported papers, the number of papers published in core journals, the number of papers published in core journals of Chinese Medical Associa-tion to the impact of papers, which showed that these parameters could effectively measure the impact of Chinese papers published by class A hospitals in China.
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〔Abstract〕 The paper summarizes identification methods for research fronts , including the method based on bibliometrics and the au-tomatic and semi-automatic methods based on computers .Their respective advantages and disadvantages are noted and it is suggested that such tools as semantic network should be utilized to identify research fronts in a deeper and more accurate manner .
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〔Abstract〕 By literature investigation , the paper describes the current research status of the relevance between the international co -author mode and paper citation , including characteristics of current researches on the analysis level , subject and method , etc.In combi-nation with the current research status and requirements of scientific research evaluation , it provides suggestions for the conduction of re-search activities in this field .
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〔Abstract〕 Based on the data of funded papers from SCIE in 2013, the funded issues of high-level medical papers wrote by Chinese authors are discussed by bibliometrics method.The levels and sources of funds from domestic and foreign countries which funding the Chi-nese medical papers are analyzed.The present situation and existing problems of Chinese high-level medical papers funded by domestic and foreign fundations are revealed.