文献类型：期刊文献

英文题名：Knowledge Spillovers of Medical Big Data Under Hierarchical Medical System and Patients' Medical Treatment Decisions

作者：Niu, Wenjing[1];Huang, Jinyan[1];Xing, Zhao[2];Chen, Jianbin[1]

第一作者：Niu, Wenjing

通讯作者：Chen, JB[1]

机构：[1]Beijing Union Univ, Business Coll, Beijing 100025, Peoples R China;[2]Beijing Youth Polit Coll, Beijing 100102, Peoples R China

第一机构：北京联合大学商务学院

通讯机构：[1]corresponding author), Beijing Union Univ, Business Coll, Beijing 100025, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份：2019

卷号：7

起止页码：55770-55779

外文期刊名：IEEE ACCESS

收录：;EI(收录号：20192407025338);Scopus(收录号：2-s2.0-85066868091);WOS:【SSCI(收录号:WOS:000467989600001)，SCI-EXPANDED(收录号:WOS:000467989600001)】；

基金：This work was supported in part by the National Natural Science Fund Project under Grant 71572015, and in part by the Premium Funding Project for Academic Human Resources Development in Beijing Union University under Grant BPHR2018AS01.

语种：英文

外文关键词：Tiered diagnosis and treatment; big data in medicine; knowledge spillovers; signaling game

摘要：In China, there are so many patients go to the highest-level hospitals to get medical treatment directly, it is essential to study how to guide patients to take the initiative to go to the basic medical institutions first in most cases. The information asymmetry theory and the game model are applied for rational analysis in this paper. We construct two models, a doctor-patient signaling game model to study the dynamic process of patients who seek medical treatment to hospitals that are trustworthy, and a two-level treatment game model to study how to achieve a hierarchical diagnosis and reasonable referral in the case of different types of patients (general and serious conditions), considering the knowledge spillover variables supported by big data to analyze the changes in the total utility of the medical market, hospitals, and patients. With the first model analysis, it points out that only when there are three preconditions, namely, high disguising cost, controlling the income of diagnosis and treatment, and reducing the losses caused by untrustworthy behaviors, can trust signals play a real role and achieve the coordination of the optimal market type. In addition to the second model analysis, it is found that the hierarchical medical system with optimizing the allocation of medical resources has a positive effect on the benefit of the medical system and the improvement of the total welfare of patients. It also shows that the full application of big data system can further enhance the total benefit of the medical system under this system. This paper gives management suggestions for strengthening information transmission, rational design of communication system, promotion and application of big data intelligent diagnosis, and treatment for medical management departments and medical institutions at all levels to make decisions.