@inbook{96a9bc3e33364b1d9f3e193e7183fc53,
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's consent for medical data use.",
keywords = "blockchain, digital health, distributed ledger technologies, health information technology",
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",
doi = "10.3233/SHTI220479",
language = "English",
isbn = "9781643682846",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "382--386",
editor = "Brigitte S{\'e}roussi and Patrick Weber and Dhombres, {Ferdinand } and Grouin, {Cyril } and Jan-David Liebe and Sylvia Pelayo and Andrea Pinna and Bastien Rance and Sacchi, {Lucia } and Adrien Ugon and Arriel Benis and Parisis Gallos",
booktitle = "Challenges of Trustable AI and Added-Value on Health",
address = "Netherlands",
note = "32nd Medical Informatics Europe Conference, MIE2022 ; Conference date: 27-05-2022 Through 30-05-2022",
}