| Under the promotion of the “Healthy China” strategy and the grading diagnosis and treatment reform,the online medical community serves as an important channel for online interaction between doctors and patients,effectively realizing the knowledge sharing and information interaction between doctors and patients in the online medical community.Development will help optimize the allocation of medical resources and boost the reform of the medical system.The current online health community has become the object of favor and chase in the capital market,and long-term stable patient groups have spawned more doctors with offline medical institutions.As the core competitiveness of online health community,doctors’ knowledge contribution behavior determines the survival and development of online health community.How to grasp the internal mechanism of user knowledge contribution behavior of online health community,and make an objective evaluation of user knowledge contribution,so as to effectively promote the knowledge contribution behavior of online health community users,ensure the smooth and healthy development of online health community knowledge circulation,and alleviate The rapid growth of medical demand and the shortage of medical resources supply have become important issues for online health community platform managers and national health departments.This paper takes the knowledge contribution of online health community users as the research object,and based on the research on the knowledge contribution of online health community at home and abroad,using literature analysis,qualitative research and empirical analysis to contribute to the knowledge of online health community users.In-depth research was carried out to explore the evaluation methods of knowledge contribution of online health community users,and put forward strategies and suggestions to promote knowledgeIV contribution.The research work of this paper mainly includes:First,analyze the knowledge transfer process of the online health community.Firstly,the in-depth analysis of the connotation and characteristics of online health community knowledge transfer is carried out.Secondly,the constituent elements of online health community knowledge transfer are systematically discussed from three aspects: knowledge transfer subject,knowledge transfer object and knowledge transfer mode.Finally,from theoretical knowledge and The knowledge circulation model of online health community was constructed from different perspectives of application knowledge,and the complete process of knowledge circulation in online health community was expounded.Second,explore the formation mechanism of knowledge contribution behavior in online health communities.Firstly,the concept and characteristics of knowledge contribution behavior in online medical community are explained;secondly,from the perspective of behavioral psychology The needs of online health community knowledge contribution behavior are expounded,and the user knowledge contribution behavior needs are divided into four levels: using security requirements,community attribution requirements,respecting needs and self-realization needs.Thirdly,starting from the online health community user knowledge contribution behavior motives,Refining and interpreting the five kinds of knowledge contribution behavior motives of psychological perception,service altruism,functional use,situational expectation and economic stimulation;finally,summarizing the user’s perception and psychological change of knowledge contribution behavior,and describing the formation of knowledge contribution behavior of online health community Evolution process.Third,analyze the influencing factors of online health community knowledge contribution behavior.Firstly,combining the characteristics of online health community and drawing on the theory of integration technology acceptance and utilization,the model of influencing factors of knowledge contribution behavior of online health community was constructed.Secondly,a more reasonable surveyquestionnaire was designed,and the data collection and collation work was completed accordingly.The scientific research data is obtained;again,the proposed research hypothesis is verified by the confirmatory analysis method,the model adaptation degree requirement is achieved by the modified model,and the relevant conclusions of the research hypothesis are obtained by verification;finally,for the online health community user Group characteristics were analyzed in multiple groups.The adjustment effect of the difference between doctor’s title and hospital level on the influencing factors was analyzed.Fourth,research on the evaluation of knowledge contribution of online health community users.Firstly,the connotation of knowledge contribution of online health community is defined,and the goal and process of knowledge contribution evaluation are clarified.Secondly,five dimensions of online health community knowledge contribution evaluation system are determined through expert interviews and questionnaire survey methods,and the specific evaluation is given.Finally,based on the online health community knowledge contribution evaluation system,the online health community knowledge contribution entropy weight TOPSIS evaluation model is constructed,and Python language programming is used to climb the thyroid surgeon of 4 hospitals in the northeast region of the doctor community.The knowledge contribution data,using the evaluation model algorithm using Matlab solution,the online health community knowledge contribution evaluation results are sorted,and the evaluation results are compared with the good doctor online original contribution ranking and recommendation heat ranking.Fifthly,aiming at the actual situation of knowledge contribution behavior and knowledge contribution evaluation of online medical community users in China,this paper proposes countermeasures and suggestions to promote the knowledge contribution of online medical community,in order to provide reference for online medical community platform to promote user participation and contribute medical health knowledge.This research enriches the theoretical system of online health community information behavior on the theoretical level,deepens the application of knowledgesharing theory in online medical field,and provides scientific methods and theoretical basis for online health community evaluation knowledge contribution.On the practical level,this study provides decision-making guidance for the online health community to promote user knowledge contribution behavior,promotes the dimensional development of online health community knowledge management,and provides practical feasibility for objectively measuring and evaluating the knowledge contribution of online health community users.In the future research,big data technology will continue to be used to obtain user behavior data,and data mining methods will be used to analyze and characterize behavior data of doctors and patients in online health community,which will provide more targeted information for online health community knowledge interaction services. |
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