医院和大数据:日本病例组合和电子索赔数据的使用。

Shinya Matsuda
{"title":"医院和大数据:日本病例组合和电子索赔数据的使用。","authors":"Shinya Matsuda","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The ageing society issue has necessitated the Japanese government conducting health reform. In order to reorganize the health service delivery system, the Ministry of Health, Labour and Welfare (MHLW) has prepared two massive health related data bases; DPC (Diagnosis Procedure Combination) data and NDB (National Receipt Database). The former gathers about 11 million discharged cases from 1,900 acute care hospitals annually. The latter gathers more than 1.7 billion claim data from all medical facilities every year. Using these data bases, we can evaluate the current system and estimate the future health needs of each region. As the backbone of the Japanese health system is a publicly funded private dominant supply system, the existence of useful information concerning health needs is crucial for sound management, especially for the private sector. In this article, the author reveals some examples of the application of these two massive databases for regional health planning and hospital management.</p>","PeriodicalId":79651,"journal":{"name":"Japan-hospitals : the journal of the Japan Hospital Association","volume":" 35","pages":"45-52"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hospitals and Big Data: Use of Case Mix and E-claim Data in Japan.\",\"authors\":\"Shinya Matsuda\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The ageing society issue has necessitated the Japanese government conducting health reform. In order to reorganize the health service delivery system, the Ministry of Health, Labour and Welfare (MHLW) has prepared two massive health related data bases; DPC (Diagnosis Procedure Combination) data and NDB (National Receipt Database). The former gathers about 11 million discharged cases from 1,900 acute care hospitals annually. The latter gathers more than 1.7 billion claim data from all medical facilities every year. Using these data bases, we can evaluate the current system and estimate the future health needs of each region. As the backbone of the Japanese health system is a publicly funded private dominant supply system, the existence of useful information concerning health needs is crucial for sound management, especially for the private sector. In this article, the author reveals some examples of the application of these two massive databases for regional health planning and hospital management.</p>\",\"PeriodicalId\":79651,\"journal\":{\"name\":\"Japan-hospitals : the journal of the Japan Hospital Association\",\"volume\":\" 35\",\"pages\":\"45-52\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Japan-hospitals : the journal of the Japan Hospital Association\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Japan-hospitals : the journal of the Japan Hospital Association","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

老龄化社会问题使日本政府有必要进行医疗改革。为了重组保健服务提供系统,卫生、劳动和福利部(MHLW)编制了两个与保健有关的大型数据库;诊断程序组合(DPC)数据和国家收据数据库(NDB)。前者每年收集1900家急症医院的1100万例出院病例。后者每年从所有医疗机构收集超过17亿份索赔数据。利用这些数据库,我们可以评估当前系统并估计每个地区未来的卫生需求。由于日本卫生系统的支柱是一个由公共资助的私营部门主导的供应系统,有关卫生需求的有用信息的存在对于健全的管理至关重要,特别是对私营部门而言。在本文中,作者揭示了这两个大型数据库在区域卫生规划和医院管理中的应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Hospitals and Big Data: Use of Case Mix and E-claim Data in Japan.

The ageing society issue has necessitated the Japanese government conducting health reform. In order to reorganize the health service delivery system, the Ministry of Health, Labour and Welfare (MHLW) has prepared two massive health related data bases; DPC (Diagnosis Procedure Combination) data and NDB (National Receipt Database). The former gathers about 11 million discharged cases from 1,900 acute care hospitals annually. The latter gathers more than 1.7 billion claim data from all medical facilities every year. Using these data bases, we can evaluate the current system and estimate the future health needs of each region. As the backbone of the Japanese health system is a publicly funded private dominant supply system, the existence of useful information concerning health needs is crucial for sound management, especially for the private sector. In this article, the author reveals some examples of the application of these two massive databases for regional health planning and hospital management.

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
期刊最新文献
The 65th Japan Hospital Association (JHA) Congress 2015 Karuizawa Desirable Healthcare System Reform: How Hospitals Should Handle System Reform. In Healthcare - When Is Good Enough, Good Enough?. Making Guarantees in Healthcare - Why Not?. Development of Case Mix Based Evaluation System in Japan. Estimating the Impact of the New Income Deduction System for Over-the-Counter Drug Expenses.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1