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北京市电子病历区域共享数据质量评价指标体系构建及应用研究
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作者 高摘星 路凤 +1 位作者 刘晶 郭默宁 《中国卫生信息管理杂志》 2024年第6期791-797,共7页
目的探索构建电子病历区域共享数据质量评价指标体系,提升区域电子病历共享数据质量。方法通过梳理文献资料,应用历史数据开展实证分析,以及开展三轮专家咨询,确定评价维度、评价指标数据项、评分方法及权重。结果形成电子病历区域共享... 目的探索构建电子病历区域共享数据质量评价指标体系,提升区域电子病历共享数据质量。方法通过梳理文献资料,应用历史数据开展实证分析,以及开展三轮专家咨询,确定评价维度、评价指标数据项、评分方法及权重。结果形成电子病历区域共享数据质量评价指标体系,并应用于30家试点医院开展月度监测分析,2023年1月至6月数据质量总体平均分由90.53分提升至93.83分。结论应用本研究建立的电子病历区域共享数据质量评价指标体系开展质控工作已取得良好效果,试点医院数据质量持续提升,可为我国其他省市研制电子病历区域共享数据质控方案提供参考。 展开更多
关键词 电子病历 数据质控 评价指标体系
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Investigation of College Students' Mental Health Status via Semantic Analysis of Sina Microblog 被引量:7
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作者 LIANG Xiaohui GU Siqi +3 位作者 DENG Jiayuan gao zhaixing ZHANG Zhonghua SHEN Dezhong 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2015年第2期159-164,共6页
The objective of this study is to understand the current mental status of college students in China's Mainland. In this study, 60 thousand college students' microblog content from January 2014 to June 2014 was co... The objective of this study is to understand the current mental status of college students in China's Mainland. In this study, 60 thousand college students' microblog content from January 2014 to June 2014 was collected. An emotional energy level, which was developed by a psychologist David R Hawkins, was taken as a basis for ontology database to divide the student's emotion into three parts--positive, negative and neutral status. An ontology-based semantic analysis method was used to analyze the microblog data. The result shows that 46.38% of Sina microblog data reflects positive psychological status, and the ratios of neutral and negative psychological status are 19.77% and 33.85%, respectively. It means that almost one third microblog reflects some negative mentality. The semantic analysis of the big data suggests that most students have healthy mental status, and the negative status of the students should not be ignored. 展开更多
关键词 college students big data Sina microblog mental health ONTOLOGY
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