Protecting privacy and promoting learning: blockchain and privacy preserving technology should inform new ethical guidelines for health data

被引:0
|
作者
Marielle Gross
Robert C. Miller
机构
[1] Johns Hopkins University Berman Institute of Bioethics,School of Medicine and Center for Bioethics and Health Law
[2] University of Pittsburgh,undefined
[3] Flashbots,undefined
来源
Health and Technology | 2021年 / 11卷
关键词
Clinical informatics; Privacy; Deidentification; Blockchain; Learning health system (LHS); Clinical research; Big data;
D O I
暂无
中图分类号
学科分类号
摘要
Our current legal protections and ethical oversight have been insufficient for guarding against ethical violations involving our health data in the modern age. Concerns regarding the governance and privacy of health data are growing in tandem with calls for updated ethical guidelines for data-driven research. In this piece we discuss how blockchain technology and privacy preserving forms of computation may be foundational for new ethical guidelines given their potential to resolve the fundamental tensions between our concurrent obligations to protect individuals’ health data rights and to promote learning from health data for the good of society.
引用
收藏
页码:1165 / 1169
页数:4
相关论文
共 50 条
  • [1] Protecting privacy and promoting learning: blockchain and privacy preserving technology should inform new ethical guidelines for health data
    Gross, Marielle
    Miller, Robert C.
    [J]. HEALTH AND TECHNOLOGY, 2021, 11 (05) : 1165 - 1169
  • [2] Blockchain-orchestrated machine learning for privacy preserving federated learning in electronic health data
    Passerat-Palmbach, Jonathan
    Farnan, Tyler
    McCoy, Mike
    Harris, Justin D.
    Manion, Sean T.
    Flannery, Heather Leigh
    Gleim, Bill
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2020), 2020, : 550 - 555
  • [3] Protecting privacy to protect mental health: the new ethical imperative
    Aboujaoude, Elias
    [J]. JOURNAL OF MEDICAL ETHICS, 2019, 45 (09) : 604 - 607
  • [4] Blockchain for Health IoT: A privacy-preserving data sharing system
    Chen, Songling
    Fu, Xiangling
    Si, Hongchao
    Wang, Yi
    Gao, Songfeng
    Wang, Chunyuan
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2022, 52 (09): : 2026 - 2044
  • [5] Data Privacy Protection Based on Unsupervised Learning and Blockchain Technology
    Zhao, Jian’E
    Zhu, Jianjun
    [J]. International Journal of Network Security, 2024, 26 (02) : 312 - 320
  • [6] Applications of blockchain technology in privacy preserving and data security for real time (data) applications
    Deshmukh, Sushama A.
    Kasar, Smita
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024,
  • [7] A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks
    Keshk, Marwa
    Turnbull, Benjamin
    Moustafa, Nour
    Vatsalan, Dinusha
    Choo, Kim-Kwang Raymond
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (08) : 5110 - 5118
  • [8] Protecting Check-In Data Privacy in Blockchain Transactions with Preserving High Trajectory Pattern Utility
    Xia, Xiufeng
    Hou, Tingting
    Liu, Xiangyu
    Zong, Chuanyu
    Mu, Shengsheng
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [9] Federated Learning with Blockchain for Privacy-Preserving Data Sharing in Internet of Vehicles
    Wenxian Jiang
    Mengjuan Chen
    Jun Tao
    [J]. China Communications, 2023, 20 (03) : 69 - 85
  • [10] Federated Learning with Blockchain for Privacy-Preserving Data Sharing in Internet of Vehicles
    Jiang, Wenxian
    Chen, Mengjuan
    Tao, Jun
    [J]. CHINA COMMUNICATIONS, 2023, 20 (03) : 69 - 85