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作 者:杨照[1] 朱树宏 吕继成[1] 郑茜子[1] 惠淼 徐菱忆 杨莉[1] Yang Zhao;Zhu Shuhong;Lv Jicheng;Zheng Xizi;Hui Miao;Xu Lingyi;Yang Li(Peking University First Hospital,Beijing 100034,China;Xicheng District Smart Health Research Center,Beijing 100034,China)
机构地区:[1]北京大学第一医院,100034 [2]北京市西城区智慧健康研究中心,100034
出 处:《中华医学科研管理杂志》2023年第6期465-468,共4页Chinese Journal of Medical Science Research Management
基 金:中央高水平医院临床科研业务费资助(北京大学第一医院科研种子基金项目2022SF82);北京市科技新星计划(2021051);北京高校卓越青年科学家计划(BJJWZYJH01201910001006)。
摘 要:目的从科研信息化的视角对北京市某区全民健康信息平台中社区医疗机构诊疗数据质量进行分析,从而为推动基层医疗单位的信息化建设、挖掘区域数据平台科研潜能提供经验借鉴。方法依托于该区全民健康信息平台数据备份库,主要针对数据质量的完整性、整合程度、一致性3个维度进行分析评价。结果通过全民健康信息平台建设的开展,该区成功实现了社区医疗机构诊疗数据的有效采集,涵盖了患者基本信息、就诊信息、检验信息和处方信息等主要诊疗数据。但是目前已经采集的数据在数据整合程度和数据一致性上仍然存在不足。结论可以通过构建区域医疗数据中心,打破数据系统间壁垒,开展诊疗数据前结构化工作,提升数据的整合程度和一致性,同时进行有效科研前瞻性设计,推动临床数据向科研数据的有效转化。Objective This study aims to analyze of the quality of diagnosis and treatment data of community medical institutions on the national health information platform in a district of Beijing from the perspective of scientific research informatization,to provide experience and reference for promoting the informatization construction of primary medical units and tapping the scientific research potential of the regional data platform.Methods Based on the data backup database of the national health information platform in the region,the data quality was analyzed and evaluated mainly in three dimensions:integrity,integration,and consistency.Results Through the construction of the national health information platform,the district successfully achieved the effective collection of diagnosis and treatment data from community medical institutions,covering the main data such as patients′basic information,visit information,test information,prescription information,etc.However,the data collected so far were still insufficient in terms of data integration and consistency.Conclusions A regional medical data center is suggested to construct to break down the barriers between data systems,conduct pre-structuring of diagnosis and treatment data,improve data integration and consistency,and at the same time,carry out effective scientific research prospective design to promote the effective transformation of clinical data to scientific research data.
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