卫生部门数据管理解决方案

Crina-Dana Ionescu, E. Țițan, M. Mihai, D. Manea, A. Nechifor
{"title":"卫生部门数据管理解决方案","authors":"Crina-Dana Ionescu, E. Țițan, M. Mihai, D. Manea, A. Nechifor","doi":"10.2478/icas-2021-0016","DOIUrl":null,"url":null,"abstract":"\n The lack of data for many indicators and the existence of significant gaps in the availability and comparability of data is a problem of global interest, felt by all authorities and agencies specialized in data collection, analysis and use. Their objective is to provide data and indicators of good quality, which will help to correctly inform the political decision-makers and to solve the inequalities in the field of health. Thus, this paper aims to provide clear and coherent solutions to a number of problems identified in data management in general, and in data in the medical sector in particular. Also, the added value of this paper consists in a case study, which presents an x-ray of the current situation of data quality through the existing metadata for each of the analyzed sources. The research methodology used in the paper includes both a thorough analysis of the literature that identifies the main data problems and provides related solutions, as well as a comparative analysis on the quality of health data, using metadata from three sources and distinct levels of aggregation: National (Romania), European and Global.","PeriodicalId":393626,"journal":{"name":"Proceedings of the International Conference on Applied Statistics","volume":"453 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Solutions for data management in the health sector\",\"authors\":\"Crina-Dana Ionescu, E. Țițan, M. Mihai, D. Manea, A. Nechifor\",\"doi\":\"10.2478/icas-2021-0016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The lack of data for many indicators and the existence of significant gaps in the availability and comparability of data is a problem of global interest, felt by all authorities and agencies specialized in data collection, analysis and use. Their objective is to provide data and indicators of good quality, which will help to correctly inform the political decision-makers and to solve the inequalities in the field of health. Thus, this paper aims to provide clear and coherent solutions to a number of problems identified in data management in general, and in data in the medical sector in particular. Also, the added value of this paper consists in a case study, which presents an x-ray of the current situation of data quality through the existing metadata for each of the analyzed sources. The research methodology used in the paper includes both a thorough analysis of the literature that identifies the main data problems and provides related solutions, as well as a comparative analysis on the quality of health data, using metadata from three sources and distinct levels of aggregation: National (Romania), European and Global.\",\"PeriodicalId\":393626,\"journal\":{\"name\":\"Proceedings of the International Conference on Applied Statistics\",\"volume\":\"453 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Applied Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/icas-2021-0016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Applied Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/icas-2021-0016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

许多指标缺乏数据,在数据的可得性和可比性方面存在重大差距,这是一个全球关心的问题,所有专门从事数据收集、分析和使用的当局和机构都感到这一点。它们的目标是提供高质量的数据和指标,这将有助于向政治决策者提供正确的信息,并解决卫生领域的不平等现象。因此,本文旨在为一般数据管理中发现的一些问题提供明确和连贯的解决方案,特别是在医疗部门的数据中。此外,本文的附加价值还在于案例研究,该案例研究通过每个分析源的现有元数据展示了数据质量的现状。论文中使用的研究方法既包括对文献进行彻底分析,确定主要数据问题并提供相关解决方案,也包括对卫生数据质量进行比较分析,使用来自三个来源和不同汇总级别的元数据:国家(罗马尼亚)、欧洲和全球。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solutions for data management in the health sector
The lack of data for many indicators and the existence of significant gaps in the availability and comparability of data is a problem of global interest, felt by all authorities and agencies specialized in data collection, analysis and use. Their objective is to provide data and indicators of good quality, which will help to correctly inform the political decision-makers and to solve the inequalities in the field of health. Thus, this paper aims to provide clear and coherent solutions to a number of problems identified in data management in general, and in data in the medical sector in particular. Also, the added value of this paper consists in a case study, which presents an x-ray of the current situation of data quality through the existing metadata for each of the analyzed sources. The research methodology used in the paper includes both a thorough analysis of the literature that identifies the main data problems and provides related solutions, as well as a comparative analysis on the quality of health data, using metadata from three sources and distinct levels of aggregation: National (Romania), European and Global.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信