• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

健康数据领域的价值创造:健康数据助我们达成之事的类型划分

Value-creation in the health data domain: a typology of what health data help us do.

作者信息

Fiske Amelia, Degelsegger-Márquez Alexander, Marsteurer Brigitte, Prainsack Barbara

机构信息

Institute of History and Ethics in Medicine, School of Medicine, Technical University of Munich, Munich, Germany.

Austrian National Public Health Institute (GÖG), Vienna, Austria.

出版信息

Biosocieties. 2022 Apr 12:1-25. doi: 10.1057/s41292-022-00276-6.

DOI:10.1057/s41292-022-00276-6
PMID:35432575
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9002030/
Abstract

It has become a trope to speak of the increasing value of health data in our societies. Such rhetoric is highly performative: it creates expectations, channels and justifies investments in data technologies and infrastructures, and portrays deliberations on political and legal issues as obstacles to the flow of data. Yet, important epistemic and political questions remain unexamined, such as how the value of data is created, what data journeys are envisioned by policies and regulation, and for whom data types are (intended to be) valuable. Drawing on two empirical cases, (a) interviews with physicians on the topic of digital selfcare, and (b) expectations of stakeholders on the use of Real-World Data in clinical trials, as well as existing literature, we propose a typology of what health data help us to do. This typology is intended to foster reflection about the different roles and values that data use unfolds. We conclude by discussing how regulation can better accommodate practices of valuation in the health data domain, with a particular focus on identifying regulatory challenges and opportunities for EU-level policy makers, and how Covid-19 has shed light on new aspects of each case.

摘要

在我们的社会中,谈论健康数据的价值日益增加已成为一种陈词滥调。这种言辞极具表现力:它创造了期望,为数据技术和基础设施的投资提供了渠道并证明其合理性,还将关于政治和法律问题的讨论描绘为数据流动的障碍。然而,一些重要的认识论和政治问题仍未得到审视,比如数据价值是如何产生的,政策和法规所设想的数据流程是怎样的,以及数据类型对谁(有意)具有价值。基于两个实证案例,(a)就数字自我护理主题对医生进行的访谈,以及(b)利益相关者对临床试验中真实世界数据使用的期望,再结合现有文献,我们提出了一种关于健康数据能帮助我们做什么的类型学。这种类型学旨在促进对数据使用所展现的不同角色和价值的反思。我们通过讨论监管如何能更好地适应健康数据领域的估值实践来得出结论,特别关注为欧盟层面的政策制定者识别监管挑战和机遇,以及新冠疫情如何揭示了每个案例的新方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caca/9002030/512dab5d7f01/41292_2022_276_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caca/9002030/512dab5d7f01/41292_2022_276_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caca/9002030/512dab5d7f01/41292_2022_276_Fig1_HTML.jpg

相似文献

1
Value-creation in the health data domain: a typology of what health data help us do.健康数据领域的价值创造:健康数据助我们达成之事的类型划分
Biosocieties. 2022 Apr 12:1-25. doi: 10.1057/s41292-022-00276-6.
2
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
3
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
4
From the History of the Croatian Dermatovenereological Society - The Croatian Medical Association and an Overview of Important Information Regarding the Journal Acta Dermatovenerologica Croatica.克罗地亚皮肤性病学会史——克罗地亚医学协会及《克罗地亚皮肤性病学学报》重要信息概述
Acta Dermatovenerol Croat. 2018 Dec;26(4):344-348.
5
6
The Effectiveness of Integrated Care Pathways for Adults and Children in Health Care Settings: A Systematic Review.综合护理路径在医疗环境中对成人和儿童的有效性:一项系统评价。
JBI Libr Syst Rev. 2009;7(3):80-129. doi: 10.11124/01938924-200907030-00001.
7
"Exploring knowledge-user experiences in integrated knowledge translation: a biomedical investigation of the causes and consequences of food allergy".探索综合知识转化中的知识使用者体验:食物过敏因果关系的生物医学调查
Res Involv Engagem. 2016 Sep 1;2:27. doi: 10.1186/s40900-016-0043-x. eCollection 2016.
8
Towards achieving interorganisational collaboration between health-care providers: a realist evidence synthesis.实现医疗机构间合作的途径:一项基于实际证据的系统综述。
Health Soc Care Deliv Res. 2023 Jun;11(6):1-130. doi: 10.3310/KPLT1423.
9
A research roadmap for complementary and alternative medicine - what we need to know by 2020.补充和替代医学研究路线图——到2020年我们需要了解的内容。
Forsch Komplementmed. 2014;21(2):e1-16. doi: 10.1159/000360744. Epub 2014 Mar 24.
10
Introduction引言

引用本文的文献

1
Ethical considerations on the use of big data and artificial intelligence in kidney research from the ERA ethics committee.欧洲肾脏协会(ERA)伦理委员会关于在肾脏研究中使用大数据和人工智能的伦理考量
Nephrol Dial Transplant. 2025 Feb 28;40(3):455-464. doi: 10.1093/ndt/gfae267.
2
Ethical and social implications of public-private partnerships in the context of genomic/big health data collection.公共-私营伙伴关系在基因组/大健康数据收集方面的伦理和社会影响。
Eur J Hum Genet. 2024 Jun;32(6):736-741. doi: 10.1038/s41431-024-01608-9. Epub 2024 Apr 16.
3
Wearable Technologies for Healthy Ageing: Prospects, Challenges, and Ethical Considerations.

本文引用的文献

1
Represent me: please! Towards an ethics of digital twins in medicine.请代表我!迈向医学数字替身的伦理准则。
J Med Ethics. 2021 Mar 15. doi: 10.1136/medethics-2020-106134.
2
Digital triage: Novel strategies for population health management in response to the COVID-19 pandemic.数字分诊:应对 COVID-19 大流行的人口健康管理新策略。
Healthc (Amst). 2020 Dec;8(4):100493. doi: 10.1016/j.hjdsi.2020.100493. Epub 2020 Oct 26.
3
How High-Risk Comorbidities Co-Occur in Readmitted Patients With Hip Fracture: Big Data Visual Analytical Approach.
促进健康老龄化的可穿戴技术:前景、挑战与伦理考量
J Frailty Aging. 2024;13(2):149-156. doi: 10.14283/jfa.2024.19.
4
Wearable Technologies and Stress: Toward an Ethically Grounded Approach.可穿戴技术与压力:迈向基于伦理的方法。
Int J Environ Res Public Health. 2023 Sep 11;20(18):6737. doi: 10.3390/ijerph20186737.
髋部骨折再入院患者中高风险合并症如何同时出现:大数据可视化分析方法
JMIR Med Inform. 2020 Oct 26;8(10):e13567. doi: 10.2196/13567.
4
Public perceptions of conflicting information surrounding COVID-19: Results from a nationally representative survey of U.S. adults.公众对围绕 COVID-19 的相互矛盾信息的看法:对美国成年人进行的全国代表性调查结果。
PLoS One. 2020 Oct 21;15(10):e0240776. doi: 10.1371/journal.pone.0240776. eCollection 2020.
5
COVID-19 Research: Navigating the European General Data Protection Regulation.新冠病毒(COVID-19)研究:应对《欧洲通用数据保护条例》
J Med Internet Res. 2020 Aug 27;22(8):e19799. doi: 10.2196/19799.
6
Digital technologies in the public-health response to COVID-19.数字技术在应对 COVID-19 中的公共卫生响应。
Nat Med. 2020 Aug;26(8):1183-1192. doi: 10.1038/s41591-020-1011-4. Epub 2020 Aug 7.
7
The double-edged sword of digital self-care: Physician perspectives from Northern Germany.数字自我保健的双刃剑:来自德国北部的医生观点。
Soc Sci Med. 2020 Sep;260:113174. doi: 10.1016/j.socscimed.2020.113174. Epub 2020 Jul 7.
8
The Correlation of Comorbidities on the Mortality in Patients with COVID-19: an Observational Study Based on the Korean National Health Insurance Big Data.基于韩国国家健康保险大数据的 COVID-19 患者合并症与死亡率相关性的观察性研究。
J Korean Med Sci. 2020 Jul 6;35(26):e243. doi: 10.3346/jkms.2020.35.e243.
9
An agent-based model to evaluate the COVID-19 transmission risks in facilities.基于代理的模型评估设施中的 COVID-19 传播风险。
Comput Biol Med. 2020 Jun;121:103827. doi: 10.1016/j.compbiomed.2020.103827. Epub 2020 May 20.
10
COVID-19: Putting the General Data Protection Regulation to the Test.新冠病毒:对一般数据保护条例的考验。
JMIR Public Health Surveill. 2020 May 29;6(2):e19279. doi: 10.2196/19279.