Standard
Non-Fungible Tokens as a Mechanism for Representing Patient Consent. / Cunningham, James
; Davies, Nigel; Devaney, Sarah et al.
Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. ed. / Brigitte Seroussi; Patrick Weber; Ferdinand Dhombres; Cyril Grouin; Jan-David Liebe; Sylvia Pelayo; Andrea Pinna; Bastien Rance; Lucia Sacchi; Adrien Ugon; Arriel Benis; Parisis Gallos. IOS Press, 2022. p. 382-386 (Studies in Health Technology and Informatics; Vol. 294).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Cunningham, J
, Davies, N, Devaney, S, Holm, S
, Harding, M, Neumann, V & Ainsworth, J 2022,
Non-Fungible Tokens as a Mechanism for Representing Patient Consent. in B Seroussi, P Weber, F Dhombres, C Grouin, J-D Liebe, S Pelayo, A Pinna, B Rance, L Sacchi, A Ugon, A Benis & P Gallos (eds),
Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. Studies in Health Technology and Informatics, vol. 294, IOS Press, pp. 382-386, 32nd Medical Informatics Europe Conference (MIE 2022), Nice, France,
27/05/22.
https://doi.org/10.3233/SHTI220479APA
Cunningham, J.
, Davies, N., Devaney, S., Holm, S.
, Harding, M., Neumann, V., & Ainsworth, J. (2022).
Non-Fungible Tokens as a Mechanism for Representing Patient Consent. In B. Seroussi, P. Weber, F. Dhombres, C. Grouin, J-D. Liebe, S. Pelayo, A. Pinna, B. Rance, L. Sacchi, A. Ugon, A. Benis, & P. Gallos (Eds.),
Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022 (pp. 382-386). (Studies in Health Technology and Informatics; Vol. 294). IOS Press.
https://doi.org/10.3233/SHTI220479Vancouver
Cunningham J
, Davies N, Devaney S, Holm S
, Harding M, Neumann V et al.
Non-Fungible Tokens as a Mechanism for Representing Patient Consent. In Seroussi B, Weber P, Dhombres F, Grouin C, Liebe J-D, Pelayo S, Pinna A, Rance B, Sacchi L, Ugon A, Benis A, Gallos P, editors, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. IOS Press. 2022. p. 382-386. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI220479
Author
Cunningham, James
; Davies, Nigel ; Devaney, Sarah et al. /
Non-Fungible Tokens as a Mechanism for Representing Patient Consent. Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. editor / Brigitte Seroussi ; Patrick Weber ; Ferdinand Dhombres ; Cyril Grouin ; Jan-David Liebe ; Sylvia Pelayo ; Andrea Pinna ; Bastien Rance ; Lucia Sacchi ; Adrien Ugon ; Arriel Benis ; Parisis Gallos. IOS Press, 2022. pp. 382-386 (Studies in Health Technology and Informatics).
Bibtex
@inproceedings{1bf7adf085eb49b6b0cfbcca47954c5d,
title = "Non-Fungible Tokens as a Mechanism for Representing Patient Consent",
abstract = "In recent years we have seen the adoption of distributed ledger technology (DLT), originally the mechanism underpinning the operation of the Bitcoin crypto currency, across a wider range of technology sectors including healthcare. DLT allows for the design of informatics systems with the properties of immutability, security, and decentralization. One recent innovation in the space has been the specification and development of Non-Fungible Tokens (NFTs). NFTs are decentralized DLT-based records that represent ownership of a unique digital asset. The predominant current use case for NFTs has been in the representation and sale of digital artwork, however the features offered by NFTs, unique-ness, immutability, transferability, and verifiability, are directly applicable to the design of health informatics systems. In this paper we explore these properties and describe a reference architecture for using NFTs as a means of representing and transferring records of patient{\textquoteright}s consent for medical data use.",
author = "James Cunningham and Nigel Davies and Sarah Devaney and S{\o}ren Holm and Mike Harding and Victoria Neumann and John Ainsworth",
year = "2022",
month = may,
day = "25",
doi = "10.3233/SHTI220479",
language = "English",
isbn = "9781643682846",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "382--386",
editor = "Brigitte Seroussi and Patrick Weber and Ferdinand Dhombres and Cyril Grouin and Jan-David Liebe and Sylvia Pelayo and Andrea Pinna and Bastien Rance and Lucia Sacchi and Adrien Ugon and Arriel Benis and Parisis Gallos",
booktitle = "Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022",
note = "32nd Medical Informatics Europe Conference (MIE 2022) : Challenges of trustable AI and added-value on health ; Conference date: 27-05-2022 Through 30-05-2022",
url = "https://mie2022.org/",
}
RIS
TY - GEN
T1 - Non-Fungible Tokens as a Mechanism for Representing Patient Consent
AU - Cunningham, James
AU - Davies, Nigel
AU - Devaney, Sarah
AU - Holm, Søren
AU - Harding, Mike
AU - Neumann, Victoria
AU - Ainsworth, John
N1 - Conference code: 32
PY - 2022/5/25
Y1 - 2022/5/25
N2 - In recent years we have seen the adoption of distributed ledger technology (DLT), originally the mechanism underpinning the operation of the Bitcoin crypto currency, across a wider range of technology sectors including healthcare. DLT allows for the design of informatics systems with the properties of immutability, security, and decentralization. One recent innovation in the space has been the specification and development of Non-Fungible Tokens (NFTs). NFTs are decentralized DLT-based records that represent ownership of a unique digital asset. The predominant current use case for NFTs has been in the representation and sale of digital artwork, however the features offered by NFTs, unique-ness, immutability, transferability, and verifiability, are directly applicable to the design of health informatics systems. In this paper we explore these properties and describe a reference architecture for using NFTs as a means of representing and transferring records of patient’s consent for medical data use.
AB - In recent years we have seen the adoption of distributed ledger technology (DLT), originally the mechanism underpinning the operation of the Bitcoin crypto currency, across a wider range of technology sectors including healthcare. DLT allows for the design of informatics systems with the properties of immutability, security, and decentralization. One recent innovation in the space has been the specification and development of Non-Fungible Tokens (NFTs). NFTs are decentralized DLT-based records that represent ownership of a unique digital asset. The predominant current use case for NFTs has been in the representation and sale of digital artwork, however the features offered by NFTs, unique-ness, immutability, transferability, and verifiability, are directly applicable to the design of health informatics systems. In this paper we explore these properties and describe a reference architecture for using NFTs as a means of representing and transferring records of patient’s consent for medical data use.
U2 - 10.3233/SHTI220479
DO - 10.3233/SHTI220479
M3 - Conference contribution/Paper
SN - 9781643682846
T3 - Studies in Health Technology and Informatics
SP - 382
EP - 386
BT - Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022
A2 - Seroussi, Brigitte
A2 - Weber, Patrick
A2 - Dhombres, Ferdinand
A2 - Grouin, Cyril
A2 - Liebe, Jan-David
A2 - Pelayo, Sylvia
A2 - Pinna, Andrea
A2 - Rance, Bastien
A2 - Sacchi, Lucia
A2 - Ugon, Adrien
A2 - Benis, Arriel
A2 - Gallos, Parisis
PB - IOS Press
T2 - 32nd Medical Informatics Europe Conference (MIE 2022)
Y2 - 27 May 2022 through 30 May 2022
ER -
