Interaction-dependent e-health hub-software adaptation to cloud-based electronic health records

A. Adamkó, Abel Garai, István Péntek
{"title":"Interaction-dependent e-health hub-software adaptation to cloud-based electronic health records","authors":"A. Adamkó, Abel Garai, István Péntek","doi":"10.1109/COGINFOCOM.2017.8268267","DOIUrl":null,"url":null,"abstract":"The recent decade brought a significant breakthrough in the healthcare interoperability. Among other things the patient-information has been thoroughly digitalized and shared between the involved organizational units. The healthcare data is stored in electronic health records (EHR). These records mostly remained in stand-alone servers. However, the cloud-technology penetrated also the healthcare industry. As people move and travel more frequently, they are more likely to receive treatment in foreign healthcare institutions. Therefore, they leave their electronic medical footprint in different countries. The industrial cloud-providers offer regional, international or global solutions. This trend eliminates the former technological barriers of cross-border data exchange. This article summarizes the results of the team's research, and focuses on the findings of the latest stage of the three-year exploratory program. From technical point of view, this research phase focuses on three objectives: capture of the bio-sensory raw data from the dedicated e-Health device, aggregation and evaluation of the data-flow by the hub-software, and collection into EHR. This research also simulates the proposed adaptive, event-based and interoperable healthcare ecosystem. According to the cloud architecture's elasticity, the findings of this pilot project can be later disseminated to international extent and the hub software's system dimensions can be scaled up to serve also complex healthcare ecosystems.","PeriodicalId":212559,"journal":{"name":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINFOCOM.2017.8268267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The recent decade brought a significant breakthrough in the healthcare interoperability. Among other things the patient-information has been thoroughly digitalized and shared between the involved organizational units. The healthcare data is stored in electronic health records (EHR). These records mostly remained in stand-alone servers. However, the cloud-technology penetrated also the healthcare industry. As people move and travel more frequently, they are more likely to receive treatment in foreign healthcare institutions. Therefore, they leave their electronic medical footprint in different countries. The industrial cloud-providers offer regional, international or global solutions. This trend eliminates the former technological barriers of cross-border data exchange. This article summarizes the results of the team's research, and focuses on the findings of the latest stage of the three-year exploratory program. From technical point of view, this research phase focuses on three objectives: capture of the bio-sensory raw data from the dedicated e-Health device, aggregation and evaluation of the data-flow by the hub-software, and collection into EHR. This research also simulates the proposed adaptive, event-based and interoperable healthcare ecosystem. According to the cloud architecture's elasticity, the findings of this pilot project can be later disseminated to international extent and the hub software's system dimensions can be scaled up to serve also complex healthcare ecosystems.
依赖交互的电子健康中心——适应基于云的电子健康记录的软件
近十年来,医疗保健互操作性取得了重大突破。除其他事项外,患者信息已完全数字化,并在相关组织单位之间共享。医疗保健数据存储在电子健康记录(EHR)中。这些记录大多保存在独立的服务器中。然而,云技术也渗透到了医疗保健行业。随着人们搬家和旅行的频繁,他们更有可能在国外医疗机构接受治疗。因此,他们在不同的国家留下了他们的电子医疗足迹。工业云提供商提供区域性、国际性或全球性的解决方案。这一趋势消除了以前跨境数据交换的技术障碍。本文总结了团队的研究成果,重点介绍了三年探索计划最新阶段的研究成果。从技术角度来看,本研究阶段侧重于三个目标:从专用电子健康设备捕获生物感官原始数据,通过中心软件对数据流进行汇总和评估,并将其收集到电子健康档案中。本研究还模拟了提出的自适应、基于事件和可互操作的医疗保健生态系统。根据云架构的弹性,这个试点项目的发现可以在以后传播到国际范围,中心软件的系统维度可以扩大,以服务于复杂的医疗保健生态系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信