No Cover Image

Journal article 145 views 47 downloads

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

  • 64385.VOR.pdf

    PDF | Version of Record

    © 2022 Published by Elsevier Ltd. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0).

    Download (563.93KB)

Check full text

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...

Full description

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
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2023-10-17T14:07:58Z
last_indexed 2023-10-17T14:07:58Z
id cronfa64385
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>64385</id><entry>2023-09-04</entry><title>Incentivizing the sharing of healthcare data in the AI Era</title><swanseaauthors><author><sid>3fa8e58607d4949e7d0d3fa8fa1c2f7d</sid><firstname>Helen</firstname><surname>Yu</surname><name>Helen Yu</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-09-04</date><deptcode>BBU</deptcode><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.</abstract><type>Journal Article</type><journal>Computer Law and Security Review</journal><volume>45</volume><journalNumber/><paginationStart>105670</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0267-3649</issnPrint><issnElectronic/><keywords>Artificial intelligence, Data, Healthcare, Collective data management</keywords><publishedDay>31</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-07-31</publishedDate><doi>10.1016/j.clsr.2022.105670</doi><url>http://dx.doi.org/10.1016/j.clsr.2022.105670</url><notes/><college>COLLEGE NANME</college><department>Business</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BBU</DepartmentCode><institution>Swansea University</institution><apcterm/><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.”</funders><projectreference/><lastEdited>2023-10-17T15:08:18.6006926</lastEdited><Created>2023-09-04T15:16:15.2059994</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Andreas</firstname><surname>Panagopoulos</surname><orcid>0000-0002-2021-0641</orcid><order>1</order></author><author><firstname>Timo</firstname><surname>Minssen</surname><orcid>0000-0002-3286-4888</orcid><order>2</order></author><author><firstname>Katerina</firstname><surname>Sideri</surname><order>3</order></author><author><firstname>Helen</firstname><surname>Yu</surname><order>4</order></author><author><firstname>Marcelo Corrales</firstname><surname>Compagnucci</surname><order>5</order></author></authors><documents><document><filename>64385__28801__c4ddf9815e144ead838e012c546848c0.pdf</filename><originalFilename>64385.VOR.pdf</originalFilename><uploaded>2023-10-17T15:06:43.0850278</uploaded><type>Output</type><contentLength>577465</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2022 Published by Elsevier Ltd. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling v2 64385 2023-09-04 Incentivizing the sharing of healthcare data in the AI Era 3fa8e58607d4949e7d0d3fa8fa1c2f7d Helen Yu Helen Yu true false 2023-09-04 BBU 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. Journal Article Computer Law and Security Review 45 105670 Elsevier BV 0267-3649 Artificial intelligence, Data, Healthcare, Collective data management 31 7 2022 2022-07-31 10.1016/j.clsr.2022.105670 http://dx.doi.org/10.1016/j.clsr.2022.105670 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 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.” 2023-10-17T15:08:18.6006926 2023-09-04T15:16:15.2059994 Faculty of Humanities and Social Sciences School of Management - Business Management Andreas Panagopoulos 0000-0002-2021-0641 1 Timo Minssen 0000-0002-3286-4888 2 Katerina Sideri 3 Helen Yu 4 Marcelo Corrales Compagnucci 5 64385__28801__c4ddf9815e144ead838e012c546848c0.pdf 64385.VOR.pdf 2023-10-17T15:06:43.0850278 Output 577465 application/pdf Version of Record true © 2022 Published by Elsevier Ltd. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title Incentivizing the sharing of healthcare data in the AI Era
spellingShingle Incentivizing the sharing of healthcare data in the AI Era
Helen Yu
title_short Incentivizing the sharing of healthcare data in the AI Era
title_full Incentivizing the sharing of healthcare data in the AI Era
title_fullStr Incentivizing the sharing of healthcare data in the AI Era
title_full_unstemmed Incentivizing the sharing of healthcare data in the AI Era
title_sort Incentivizing the sharing of healthcare data in the AI Era
author_id_str_mv 3fa8e58607d4949e7d0d3fa8fa1c2f7d
author_id_fullname_str_mv 3fa8e58607d4949e7d0d3fa8fa1c2f7d_***_Helen Yu
author Helen Yu
author2 Andreas Panagopoulos
Timo Minssen
Katerina Sideri
Helen Yu
Marcelo Corrales Compagnucci
format Journal article
container_title Computer Law and Security Review
container_volume 45
container_start_page 105670
publishDate 2022
institution Swansea University
issn 0267-3649
doi_str_mv 10.1016/j.clsr.2022.105670
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
url http://dx.doi.org/10.1016/j.clsr.2022.105670
document_store_str 1
active_str 0
description 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.
published_date 2022-07-31T15:08:20Z
_version_ 1780011971480911872
score 11.012678

Similar Items