Healthcare and the Roles of the Medical Profession in the Big Data Era.

Yuji Yamamoto
{"title":"Healthcare and the Roles of the Medical Profession in the Big Data Era.","authors":"Yuji Yamamoto","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The accumulation of large amounts of healthcare information is in progress, and society is about to enter the Health Big Data era by linking such data. Medical professionals' daily tasks in clinical practice have become more complicated due to information overload, accelerated technological development, and the expansion of conceptual frameworks for medical care. Further, their responsibilities are more challenging and their workload is consistently increasing. As medical professionals enter the Health Big Data era, we need to reevaluate the fundamental significance and role of medicine and investigate ways to utilize this available information and technology. For example, a data analysis on diabetes patients has already shed light on the status of accessibility to physicians and the treatment response rate. In time, large amounts of health data will help find solutions including new effective treatment that could not be discovered by conventional means. Despite the vastness of accumulated data and analyses, their interpretation is necessarily conducted by attending physicians who communicate these findings to patients face to face; this task cannot be replaced by technology. As medical professionals, we must take the initiative to evaluate the framework of medicine in the Health Big Data era, study the ideal approach for clinical practitioners within this framework, and spread awareness to the public about our framework and approach while implementing them.</p>","PeriodicalId":90568,"journal":{"name":"Japan Medical Association journal : JMAJ","volume":"59 2-3","pages":"125-139"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333618/pdf/jmaj-59-0125.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Japan Medical Association journal : JMAJ","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

Abstract

The accumulation of large amounts of healthcare information is in progress, and society is about to enter the Health Big Data era by linking such data. Medical professionals' daily tasks in clinical practice have become more complicated due to information overload, accelerated technological development, and the expansion of conceptual frameworks for medical care. Further, their responsibilities are more challenging and their workload is consistently increasing. As medical professionals enter the Health Big Data era, we need to reevaluate the fundamental significance and role of medicine and investigate ways to utilize this available information and technology. For example, a data analysis on diabetes patients has already shed light on the status of accessibility to physicians and the treatment response rate. In time, large amounts of health data will help find solutions including new effective treatment that could not be discovered by conventional means. Despite the vastness of accumulated data and analyses, their interpretation is necessarily conducted by attending physicians who communicate these findings to patients face to face; this task cannot be replaced by technology. As medical professionals, we must take the initiative to evaluate the framework of medicine in the Health Big Data era, study the ideal approach for clinical practitioners within this framework, and spread awareness to the public about our framework and approach while implementing them.

Abstract Image

Abstract Image

Abstract Image

医疗保健和医疗行业在大数据时代的角色。
大量医疗信息的积累正在进行中,通过这些数据的链接,社会即将进入健康大数据时代。由于信息超载、技术的加速发展和医疗保健概念框架的扩展,医疗专业人员在临床实践中的日常任务变得更加复杂。此外,他们的职责更具挑战性,工作量也在不断增加。随着医疗专业人员进入健康大数据时代,我们需要重新评估医学的基本意义和作用,并研究如何利用这些可用的信息和技术。例如,对糖尿病患者的数据分析已经揭示了医生的可及性状况和治疗反应率。随着时间的推移,大量卫生数据将有助于找到解决办法,包括通过传统手段无法发现的新的有效治疗方法。尽管积累了大量的数据和分析,但它们的解释必须由主治医生进行,并与患者面对面交流这些发现;这项任务是技术无法取代的。作为医学专业人士,我们必须主动评估健康大数据时代的医学框架,研究在这个框架下临床从业者的理想方法,并在实施过程中向公众宣传我们的框架和方法。
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:604180095
Book学术官方微信
小红书