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作 者:李芹[1] 孔明军[1] 陶秀红 彭瑞雪 邹晶 郑晓菲[1] LI Qin;KONG Mingjun;TAO Xiuhong;PENG Ruixue;ZOU Jing;ZHENG Xiaofei(Information Center,Tai'an Central Hospital(Tai'an Central Hospital Affiliated to Qingdao University,Taishan Medical Care Center),Tai'an 271000,Shandong Province,China)
机构地区:[1]泰安市中心医院(青岛大学附属泰安市中心医院、泰山医养中心)信息中心,山东泰安271000
出 处:《中国数字医学》2024年第10期64-69,共6页China Digital Medicine
摘 要:目的:改善传统绩效考核方式考核指标不明确、数据采集和分析不规范等问题。方法:利用人工智能、自然语言处理等技术,将各系统分散的数据进行统一集成、治理,按照上报指标的形式存储于数据中心,实现指标全局定义,构建绩效考核系统,展示、分析相关指标趋势,并动态追踪与管理。结果:该平台集展示、统计、分析、反馈为一体,实现了指标分析智能化、运营管理精细化、绩效动态监测与预警,同时提升了业务数据质量。结论:该系统的应用提高了医院绩效考核的准确性和效率,可为医院管理提供决策支持。Objective To improve the traditional performance appraisal methods,such as addressing the problems of unclear appraisal indicators and unstandardized data collection and analysis.Methods Using technologies such as AI and natural language processing(NLP),the scattered data of various systems were integrated and managed in a unified manner,stored in the data center in the form of reported indicators,so as to achieve the universal definition of indicators,build a performance appraisal system,display and analyze the trend of related indicators,and dynamically track and manage them.Results The platform integrated functions of display,statistics,analysis and feedback,achieved intelligent indicator analysis,fine operation management,dynamic performance monitoring and early warning,and improved the data quality.Conclusion The application of this system improves the accuracy and efficiency of hospital performance appraisal,and can provide decision-making support for hospital management.
关 键 词:绩效考核 指标分析 数据治理 数据中心 辅助决策支持
分 类 号:R197.3[医药卫生—卫生事业管理] R319[医药卫生—公共卫生与预防医学]
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