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Incentivizing the sharing of healthcare data in the AI Era

Andreas Panagopoulos Orcid Logo, Timo Minssen Orcid Logo, Katerina Sideri, Helen Yu, Marcelo Corrales Compagnucci

Computer Law and Security Review, Volume: 45, Start page: 105670

Swansea University Author: Helen Yu

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DOI (Published version): 10.1016/j.clsr.2022.105670

Abstract

This article contributes to the policy dialogue about how to govern healthcare data in the AI era and how to incentivize patients to share their data. Existing approaches to data-sharing restrict the flow of data. Yet, as healthcare AI technologies rely on data in enhancing their scope, such lack of...

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Published in: Computer Law and Security Review
ISSN: 0267-3649
Published: Elsevier BV 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa64385
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Abstract: This article contributes to the policy dialogue about how to govern healthcare data in the AI era and how to incentivize patients to share their data. Existing approaches to data-sharing restrict the flow of data. Yet, as healthcare AI technologies rely on data in enhancing their scope, such lack of data hinders the creation of future applications and diminishes the need for data to furnish them. We shift attention to a GDPR based policy that does not restrict data flows and argue that the existing experience in monetizing digitalized copyright material such as music can offer a practical and well tested solution.
Keywords: Artificial intelligence, Data, Healthcare, Collective data management
College: Faculty of Humanities and Social Sciences
Funders: MCC’s, TM’s and HY’s research for this contribution and the payment of the open access fee was supported by a Novo Nordisk Foundation grant for a scientifically independent Collaborative Research Programme in Biomedical Innovation Law (Grant agreement number NNF17SA0027784). “Sideri is grateful for the financial assistance of the EU’s Marie SkłodowskaCurie grant agreement Biased AI DLV-794604.”
Start Page: 105670

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