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Editorial: Examining upstream to understand downstream: use of telehealth and other health equity measures for addressing health disparities.社论:向上游审视以理解下游:利用远程医疗及其他健康公平措施解决健康差异问题。
Front Public Health. 2024 Dec 9;12:1529825. doi: 10.3389/fpubh.2024.1529825. eCollection 2024.
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Navigating the Landscape of Digital Twins in Medicine: A Relational Bioethical Inquiry.探索医学数字孪生的全景:一项关系生物伦理探究。
Asian Bioeth Rev. 2024 Apr 23;16(3):471-481. doi: 10.1007/s41649-024-00280-x. eCollection 2024 Jul.
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Collaborating for COVID-19: Hospital Health Information Exchange and Public Health Partnership.抗击新冠疫情的合作:医院健康信息交换与公共卫生伙伴关系
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本文引用的文献

1
The ethics of facial recognition technologies, surveillance, and accountability in an age of artificial intelligence: a comparative analysis of US, EU, and UK regulatory frameworks.人工智能时代面部识别技术、监控与问责的伦理:美国、欧盟和英国监管框架的比较分析
AI Ethics. 2022;2(3):377-387. doi: 10.1007/s43681-021-00077-w. Epub 2021 Jul 29.
2
Privacy protections to encourage use of health-relevant digital data in a learning health system.隐私保护措施,以鼓励在学习型健康系统中使用与健康相关的数字数据。
NPJ Digit Med. 2021 Jan 4;4(1):2. doi: 10.1038/s41746-020-00362-8.
3
Social determinants of health in electronic health records and their impact on analysis and risk prediction: A systematic review.电子健康记录中的健康社会决定因素及其对分析和风险预测的影响:系统评价。
J Am Med Inform Assoc. 2020 Nov 1;27(11):1764-1773. doi: 10.1093/jamia/ocaa143.
4
Human-centered design for global health equity.以人类为中心的全球健康公平设计。
Inf Technol Dev. 2019 Sep 29;26(3):477-505. doi: 10.1080/02681102.2019.1667289.
5
Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms.美国用于训练深度学习算法的队列的地理分布。
JAMA. 2020 Sep 22;324(12):1212-1213. doi: 10.1001/jama.2020.12067.
6
Addressing Bias in Artificial Intelligence in Health Care.应对医疗保健领域人工智能中的偏见问题。
JAMA. 2019 Dec 24;322(24):2377-2378. doi: 10.1001/jama.2019.18058.
7
Unlocking the Power of Artificial Intelligence and Big Data in Medicine.释放人工智能和大数据在医学中的力量。
J Med Internet Res. 2019 Nov 8;21(11):e16607. doi: 10.2196/16607.
8
Dissecting racial bias in an algorithm used to manage the health of populations.剖析用于管理人群健康的算法中的种族偏见。
Science. 2019 Oct 25;366(6464):447-453. doi: 10.1126/science.aax2342.
9
The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age.SMART 框架:数字时代公民科学、基于社区的参与式研究和系统科学在人群健康科学中的整合。
JMIR Mhealth Uhealth. 2019 Aug 30;7(8):e14056. doi: 10.2196/14056.
10
Big Data, Big Tech, and Protecting Patient Privacy.大数据、大型科技公司与保护患者隐私
JAMA. 2019 Sep 24;322(12):1141-1142. doi: 10.1001/jama.2019.11365.

Health Technology for All: An Equity-Based Paradigm Shift Opportunity.

作者信息

MacDonald Jennifer, Demiris George, Shevin Michelle, Thadaney-Israni Sonoo, Jay Carney Timothy, Cupito Anna

机构信息

University of Pennsylvania.

Ford Foundation.

出版信息

NAM Perspect. 2022 Dec 14;2022. doi: 10.31478/202212a. eCollection 2022.

DOI:10.31478/202212a
PMID:36713773
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9875852/
Abstract
摘要