摘要目的:对医院评审评价结果进行数据挖掘，获取医院管理的启示与线索。方法:利用R软件中arules包的apriori函数进行关联规则提取，对2017年至2019年以《三级综合医院评审标准(2011年版)及实施细则》为依据的56家三级综合医院的评审评价结果做关联规则分析，探索各条款之间的关联性，并分析其对医院管理的启示。结果:所有条款共产生6 566 138条规则，核心条款共产生247条规则，选择提升度排名前10的规则作为为强关联规则，其中所有条款和核心条款最小提升度分别为1.41和1.53。建立质量与安全管理小组与医院制定落实相关制度之间存在较强关联性；急诊服务流程与规范、患者知情权、首诉负责制、医疗安全(不良)事件报告、制定落实抗菌药物管理制度、开展预防多重耐药感染措施培训与多重耐药菌医院感染控制之间存在较强的关联性。结论:本研究提示医院管理中应重视建立制度与配齐人员之间、指标体系与监测反馈体系之间以及诊疗流程中不同环节各指标之间的关联性，可作为管理线索和启示在医院管理中予以关注。

abstractsObjective:To conduct data mining on hospital accreditation results for inspirations and clues in hospital management.Methods:The Apriori function contained in the arules package of R software was used to extract the association rules. This practice aimed to analyze association rules of the accreditation results of 56 tertiary hospitals which were made based on tertiary hospital accreditation standard(2011)and Detailed Rules from 2017 to 2019; to explore the correlation between the clauses, and analyze the inspirations for hospital management.Results:A total of 6 566 138 and 247 rules were generated for all clauses and core clauses, receptively. The top 10 rules sorted by lift were selected as strong association rules. Among them, the minimum lift of all clauses and core clauses was 1.41 and 1.53, respectively. There was a strong correlation between the establishment of a quality and safety management team in the hospital and the development & implementation of relevant regulations by the hospital. There were strong correlations among emergency service procedure and regulations, patient rights to know, responsibility system by the first one to receive a complaint, medical safety(adverse)event reporting, development & implementation of antimicrobial management system, as well as training for prevention of multi-drug resistance infection measures, and multi-drug resistance infection hospital infection control system.Conclusions:This study suggested that hospital management should highlight the correlation between regulations development and staffing, that between indicator systems and monitoring feedback systems, and that between indicators in different sectors in the medical process. These correlations can be used as management clues and inspirations for hospital management.