Objective To provide the service for scientific innovation and competition in biomedical industry of Hunan Province and the reference for working out biomedical patent strategies.Methods The data of biomedical patents in Hunan Province were collected using the patentEX and processed by metrics.Results The application number of patents increased from year to year with a high expiry rate.The technology of biomedical patents has entered into its mature period and the application of patents was focused on several important IPC classifications.Conclusion Tra-ditional technologies play a main role in biomedical industry of Hunan Province, but Hunan Province is relatively backward in modern biological technologies.The application number of invented biomedical patents is rather large, but their overall academic level is rather low.The majority of biomedical industry enterprises lack of competition awareness.It is thus necessary to strengthen the development of modern biological technologies, improve the aca-demic level of biomedical patents, increase the competition awareness of biomedical industry enterprises, lay stress on cooperative development of biomedical patents and on support of biomedical industry enterprises.

Purpose/Significance To conduct a cross-metric analysis of citations and cited references of highly cited medical infor-matics articles in the first quartile of the journal citation reports(JCR)over the past 10 years,and to analyze the sources of citing disci-plines and the origins of cited disciplines.Method/Process The screened data is divided into citation literature data and citing literature data.Statistics are performed from the perspective of secondary disciplines,and the general analysis is carried out from the perspective of first-level disciplines.The measurement indicators are set as discipline diversity,discipline balance,discipline continuity and disci-pline interdisciplinarity,which are analyzed respectively from the perspectives of citations and citing.Result/Conclusion The interdisci-plinary characteristics of medical informatics include a wide range of disciplines involved,consistent and stable external influence,and a tendency towards certain cross-disciplinary objects,and on this basis,the suggestions for disciplinary development are proposed.

Purpose/Significance The health index of urban residents is constructed based on human information metrology,and health status of urban residents is measured and evaluated,so as to promote residents'health management and improve their health litera-cy.Method/Process Combined with the relevant research,the health evaluation index system of urban residents is constructed,and the questionnaire survey is carried out.The health index of urban residents is calculated based on the entropy value and the comprehensive index methods,and then the empirical analysis is carried out.Result/Conclusion The difference between the health index of urban resi-dents is the smallest in the external relationship and the largest in the natural environment.There are large differences in the health index of gender and age groups.It is suggested to carry out residents'health education,strengthen the health management of high-risk groups,and construct residents'health portraits.

Purpose/Significance To sort out the literature in the field of traditional Chinese medicine(TCM)in China in the past decade,and to expound the hot topics and development trends in this field.Method/Process Literature in the field of TCM in Wanfang Data from 2013 to 2022 is searched.The abstracts are taken as the research objects,the topics are extracted by BERTopic model,and CiteSpace is used for visualization and analysis.Result/Conclusion 12 683 papers in Chinese are included,and the 5 topics are found:clinical trials and efficacy,research on pathogenesis and pharmacology,the development of the field of TCM,treatment of chronic dis-ease,drug analysis and literature research.The paper makes an in-depth analysis of the topic of the development of traditional Chinese medicine,which continues to grow in popularity,and puts forward that the deep integration of artificial intelligence(AI)and TCM is the future trend.

Purpose/Significance The paper discusses the construction of the current elderly health policy system by using policy text min-ing and quantitative evaluation,and provides references for future policy adjustment and optimization.Method/Process Policies on elderly health issued by the relative departments from 2019 to 2023 are analyzed.The ROST text data mining tool is used to extract high-frequency words and build semantic networks.Gephi is utilized to visualize social network relationships for text analysis.Quantitative analysis of these policies is conducted using the PMC index model.Results/Conclusion The high-frequency words such as"national","society","knowl-edge","resources",and"guarantee"are identified as key areas in elderly health policies,which are interconnected within the social network.The overall trend of the elderly health policy formulation is positive.It is suggested to improve the accuracy and adaptability of the policy,clari-fy the time node and core elements of the policy,and enhance the strategic analysis of the function and content of the policy.