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作 者:吴卓存 张重阳 胡红濮[1] 万艳丽[1] 赵姗姗 曾庆嘉 WU Zhuocun;ZHANG Chongyang;HU Hongpu;WAN Yanli;ZHAO Shanshan;ZENG Qingjia(Institute of Medical Information,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100020,China)
机构地区:[1]中国医学科学院/北京协和医学院医学信息研究所,北京100020
出 处:《医学信息学杂志》2024年第5期32-39,共8页Journal of Medical Informatics
基 金:中国医学科学院医学与健康科技创新工程经费资助项目(项目编号:2022-I2M-1-019);国家社会科学基金重大项目(项目编号:22&ZD141)。
摘 要:目的/意义探索面向基层医疗卫生机构的智能自动化模型构建路径,解决报表重复上报问题。方法/过程运用现场调研和专家咨询等方法,在北京市东城区基层医疗卫生机构开展实地调研,通过信息资源规划方法、数据整合与映射技术等,梳理基层医疗卫生机构业务交互与信息流动情况,研究自动化报表模型的构建路径。结果/结论建模梳理业务流、数据流,整理报表相关指标库,构建多源数据自动映射模型与规则,为实现基层医疗卫生机构智能报表提供具有可行性的参考路径。Purpose/Significance To explore the construction pathway of an intelligent automation model tailored for primary healthcare institutions,aiming to address the issue of repetitive reporting.Method/Process Through methods such as on-site investigations and expert consultations,a field study is conducted in primary healthcare institutions in Dongcheng District,Beijing.Utilizing information resource planning methods and data integration and mapping technologies,the business interactions and information flow within these institutions are analyzed to investigate the construction pathway of an automated reporting model.Result/Conclusion The business flow and data flow are mapped out by the modeling process,a repository of relevant reporting indicators is organized,and a multi-source data automatic mapping model and rules are developed.The study provides a feasible reference pathway for realizing intelligent reporting in primary healthcare institutions.
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