基于医疗服务交易效率视角的大数据资源对医疗协同网络的影响机制研究卡塔尔世界杯8强波胆分析调查研究%袁A，君毅%王a，苏芬%潘a，长青%+上海市徐汇区淮海西路241号上海交通大学上海胸科医院办公室，邮编:200030,86 21 62805080,panchangqing@shchest.org %K医疗协同网络%K大数据资源%K交易效率%D 2022 %7 21.4.2022 %9原文%J J医学互联网研究%G英文%X大数据资源的应用与医疗协同网络的发展是相互促进的。然而，mcn通常被认为是外源性的。大数据资源如何影响内源性mcn的出现、发展和演变尚未得到很好的解释。目的:本研究旨在探索和了解广泛的共享和私有大数据资源对医疗服务交易效率的影响机制，揭示大数据资源对内源性mcn产生和发展的影响。方法:采用问卷调查的方式，对全国132家医疗机构的信息技术人员和医务人员进行调查。整合了信息技术人员和医务人员的数据。采用结构方程模型检验大数据资源对医疗服务交易效率的直接影响。对于没有直接影响的大数据资源，我们分析了它们的间接影响。 Results: Sharing of diagnosis and treatment data (β=.222; P=.03) and sharing of medical research data (β=.289; P=.04) at the network level (as big data itself) positively directly affected the transaction efficiency of medical services. Network protection of the external link systems (β=.271; P=.008) at the level of medical institutions (as big data technology) positively directly affected the transaction efficiency of medical services. Encryption security of web-based data (as big data technology) at the level of medical institutions, medical service capacity available for external use, real-time data of diagnosis and treatment services (as big data itself) at the level of medical institutions, and policies and regulations at the network level indirectly affected the transaction efficiency through network protection of the external link systems at the level of medical institutions. Conclusions: This study found that big data technology, big data itself, and policy at the network and organizational levels interact with, and influence, each other to form the transaction efficiency of medical services. On the basis of the theory of neoclassical economics, the study highlighted the implications of big data resources for the emergence and development of endogenous MCNs. %M 35318187 %R 10.2196/32776 %U //www.mybigtv.com/2022/4/e32776 %U https://doi.org/10.2196/32776 %U http://www.ncbi.nlm.nih.gov/pubmed/35318187