下一代个性化医疗的监控:医疗数据分析的科学与伦理。

IF 1.4 Q2 ETHICS
Kamal Althobaiti
{"title":"下一代个性化医疗的监控:医疗数据分析的科学与伦理。","authors":"Kamal Althobaiti","doi":"10.1080/20502877.2021.1993055","DOIUrl":null,"url":null,"abstract":"<p><p>Advances in science and technology have allowed for incredible improvements in healthcare. Additionally, the digital revolution in healthcare provides new ways of collecting and storing large volumes of patient data, referred to as big healthcare data. As a result, healthcare providers are now able to use data to gain a deeper understanding of how to treat an individual in what is referred to as personalized healthcare. Regardless, there are several ethical challenges associated with big healthcare data that affect how personalized healthcare is delivered. To highlight these issues, this article will review the role of big data in personalized healthcare while also discussing the ethical challenges associated with it. The article will also discuss public health surveillance, its implications, and the challenges associated with collecting participants' information. The article will proceed by highlighting next generation technologies, including robotics and 3D printing. The article will conclude by providing recommendations on how patient privacy can be protected in next-generation personalized healthcare.</p>","PeriodicalId":43760,"journal":{"name":"New Bioethics-A Multidisciplinary Journal of Biotechnology and the Body","volume":"27 4","pages":"295-319"},"PeriodicalIF":1.4000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Surveillance in Next-Generation Personalized Healthcare: Science and Ethics of Data Analytics in Healthcare.\",\"authors\":\"Kamal Althobaiti\",\"doi\":\"10.1080/20502877.2021.1993055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Advances in science and technology have allowed for incredible improvements in healthcare. Additionally, the digital revolution in healthcare provides new ways of collecting and storing large volumes of patient data, referred to as big healthcare data. As a result, healthcare providers are now able to use data to gain a deeper understanding of how to treat an individual in what is referred to as personalized healthcare. Regardless, there are several ethical challenges associated with big healthcare data that affect how personalized healthcare is delivered. To highlight these issues, this article will review the role of big data in personalized healthcare while also discussing the ethical challenges associated with it. The article will also discuss public health surveillance, its implications, and the challenges associated with collecting participants' information. The article will proceed by highlighting next generation technologies, including robotics and 3D printing. The article will conclude by providing recommendations on how patient privacy can be protected in next-generation personalized healthcare.</p>\",\"PeriodicalId\":43760,\"journal\":{\"name\":\"New Bioethics-A Multidisciplinary Journal of Biotechnology and the Body\",\"volume\":\"27 4\",\"pages\":\"295-319\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"New Bioethics-A Multidisciplinary Journal of Biotechnology and the Body\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/20502877.2021.1993055\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/10/31 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ETHICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Bioethics-A Multidisciplinary Journal of Biotechnology and the Body","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/20502877.2021.1993055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/10/31 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ETHICS","Score":null,"Total":0}
引用次数: 2

摘要

科学技术的进步使医疗保健得到了令人难以置信的改善。此外,医疗保健领域的数字革命提供了收集和存储大量患者数据(称为大医疗保健数据)的新方法。因此,医疗保健提供者现在能够使用数据来更深入地了解如何在所谓的个性化医疗保健中治疗个人。无论如何,与大医疗数据相关的一些道德挑战会影响个性化医疗服务的交付方式。为了突出这些问题,本文将回顾大数据在个性化医疗保健中的作用,同时讨论与之相关的伦理挑战。本文还将讨论公共卫生监测、其影响以及与收集参与者信息相关的挑战。文章将继续强调下一代技术,包括机器人和3D打印。本文最后将提供关于如何在下一代个性化医疗保健中保护患者隐私的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surveillance in Next-Generation Personalized Healthcare: Science and Ethics of Data Analytics in Healthcare.

Advances in science and technology have allowed for incredible improvements in healthcare. Additionally, the digital revolution in healthcare provides new ways of collecting and storing large volumes of patient data, referred to as big healthcare data. As a result, healthcare providers are now able to use data to gain a deeper understanding of how to treat an individual in what is referred to as personalized healthcare. Regardless, there are several ethical challenges associated with big healthcare data that affect how personalized healthcare is delivered. To highlight these issues, this article will review the role of big data in personalized healthcare while also discussing the ethical challenges associated with it. The article will also discuss public health surveillance, its implications, and the challenges associated with collecting participants' information. The article will proceed by highlighting next generation technologies, including robotics and 3D printing. The article will conclude by providing recommendations on how patient privacy can be protected in next-generation personalized healthcare.

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
CiteScore
2.30
自引率
16.70%
发文量
45
×
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