网络医疗信息风险的归因模型、定量评估及治理路径  

Attribution model,quantitative evaluation and governance path of network medical information risk

作　　者：沈奇泰松 钱辉 张大亮[2] SHEN Qitaisong;QIAN Hui;ZHANG Daliang(Digital Transformation and Social Responsibility Management Research Center,Zhejiang University City College,Hangzhou 310015,China;School of Management,Zhejiang University,Hangzhou 310058,China)

机构地区：[1]浙大城市学院数字化转型与社会责任管理研究中心,浙江杭州310015 [2]浙江大学管理学院,浙江杭州310058

出　　处：《管理工程学报》2021年第5期102-109,共8页Journal of Industrial Engineering and Engineering Management

基　　金：国家自然科学基金资助项目(71673245);国家社会科学基金资助项目(18BGL097、19BGL249)。

摘　　要：信息风险一定程度上已成为制约网络医疗发展的关键因素。当前,对网络医疗信息风险诱致性因素的研究尚缺乏系统性整合,对其量化评估和治理路径的剖析也仍显不足。为此,作者首先以新氧医美为对象,基于扎根理论,构建了网络医疗信息风险的归因模型。研究发现,网络医疗信息风险受到了内在驱动机制、载体推力机制以及公众获取机制的综合影响。在此基础上,作者运用问卷对公众进行了网络医疗信息风险形成环节的感知度调研,并基于方差分析披露了不同类型人群的认知差异性。最后,作者根据上述结果,从医疗机构、信息工具、公众认知三个角度,提出了网络医疗信息风险的治理策略,以期推动网络医疗行业健康有序发展。With the rapid development of internet technology in recent years,the network has gradually become an important carrier for patients to obtain medical information and communicate their conditions,promoting the widespread application of the network medical care model. However,with the popularization of network medical care,patients have been increasingly relying on the internet to obtain medical information,hence the gradual emergence of a new type of network-based information risk,which has become a new issue for the development of China’s medical industry. Regarding this issue,scholars mainly take the perspectives of theoretical interpretation and empirical test. They have achieved fruitful results,but there are inadequacies yet. In view of this,conducting a case study on So Young and adopting a grounded theory research method,this paper constructs the attribution model of network medical information risk through the collation,analysis and classification of case materials,depicts its formation mechanism. On this basis,the author also conducts an empirical analysis on the cognitive differences of the population in the formation of information risk through questionnaire survey,so as to deepen the understanding of the above issues in the academic circle and provide policy suggestions for further optimizing the network medical care model.Selecting So Young,the leader of network beauty industry,as the object of case study,this paper collected 47 literature materials released by Sina.com,Sohu.com,Tencent.com and other well-known online media,newspapers,magazines,and medical forums from April to August 2020,forming the documentation for network medical information risk analysis. In addition,semi-structured interviews were conducted on some consumers of So Young or people who know about it. The answers to the open-ended questions in the questionnaire were collected and organized to form 11 analytic materials,which constituted an important supporting data for the coding of this paper.In order to reach deeper into patie

关 键 词：网络医疗 信息风险 归因模型 风险感知 治理 

分 类 号：F275[经济管理—企业管理]