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复杂系统与复杂性科学  2020, Vol. 17 Issue (2): 86-92    DOI: 10.13306/j.1672-3813.2020.02.010
  本期目录 | 过刊浏览 | 高级检索 |
基于患者动态知识搜索的医生过度医疗行为研究
芮晨1, 2, 张胜发3, 陶富1, 张维军3, 田东华3
1. 河北工业大学,天津 300400;
2. 沧州市中心医院,河北 沧州 061001;
3. 北京师范大学,北京 100875;
4.河北大学,河北 保定 071002
The Physician Over-Rreatment Behavior Based on Patient’s Knowledge Dynamic Search
RUI Chen1, 2, ZHANG Shengfa3, TAO Fu1, ZHANG Weijun3, TIAN Donghua3
1. Hebei University of technology, Tianjin 300400, China; 2. Cangzhou Central Hospital, Cangzhou 061001, China;
3. Beijing Normal University, Beijing 100875, China;4. Hebei University, Baoding 071002, China
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摘要 医患信息不对称导致的过度医疗是中国医疗费用过快上涨的最根本原因之一。首先构建患者静态搜索知识策略下医生与患者的演化博弈模型;进一步引入患者动态搜索知识策略,并对医生和患者选择行为进行分析,最后对影响医生和患者行为选择的因素进行了讨论。结果表明患者静态搜索知识策略下不存在演化稳定策略;患者动态搜索知识时,存在唯一的演化稳定点。从而得出的结论是降低单位知识搜寻成本,提高单位知识的有效性,增强医生过度医疗时声誉损失系数,均能有效促进医生合理医疗;对于能力水平不高及过度医疗程度较小的医生群体,患者应更加注意其诊疗行为;监管机构应对医疗费用可增加空间较小的疾病进行重点监管。
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芮晨
张胜发
陶富
张维军
田东华
关键词 过度医疗演化博弈患者动态知识搜索    
Abstract:In order to provide a decision-making reference for physician over-treatment problems, the study established an evolutionary game model based on the game relationship between physician and patient. The result showed that there is no evolutionary stable strategy under the patient's static search knowledge strategy and there is a unique evolutionary stable strategy when the patient dynamically searches for knowledge. As the main conclusions, improving the effectiveness of knowledge in the unit, and increasing the reputational loss coefficient for physician's over-treatment behavior are effective manners to reduce the cost of knowledge search for a unit. The behavior of the physician group which has a lower ability and adopts a smaller degree of over-treatment should be paid more attentions. The focus of supervision should be on diseases with less room for growth of medical expenses.
Key wordsover-treatment    evolutionary game    knowledge dynamic search
     出版日期: 2020-06-24
ZTFLH:  R197.1  
基金资助:国家重点研发计划资助项目(2018YFB2101100)
通讯作者: 张胜发(1986),男,河北邢台人,博士,主要研究方向为医院管理、健康大数据、精神卫生、医疗卫生政策等。   
作者简介: 芮晨(1987),男,河北邢台人,博士,主要研究方向为医院管理和医疗大数据挖掘与分析。
引用本文:   
芮晨, 张胜发, 陶富, 张维军, 田东华. 基于患者动态知识搜索的医生过度医疗行为研究[J]. 复杂系统与复杂性科学, 2020, 17(2): 86-92.
RUI Chen, ZHANG Shengfa, TAO Fu, ZHANG Weijun, TIAN Donghua. The Physician Over-Rreatment Behavior Based on Patient’s Knowledge Dynamic Search. Complex Systems and Complexity Science, 2020, 17(2): 86-92.
链接本文:  
http://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2020.02.010      或      http://fzkx.qdu.edu.cn/CN/Y2020/V17/I2/86
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