Incentivizing the Sharing of Healthcare Data in the AI Era

Andreas  Panagopoulos; Timo Minssen; Katerina Sideri; Helen Yu; Marcelo Corrales Compagnucci

doi:10.1016/j.clsr.2022.105670

Incentivizing the Sharing of Healthcare Data in the AI Era

Andreas Panagopoulos^*, Timo Minssen, Katerina Sideri, Helen Yu, Marcelo Corrales Compagnucci

^*Corresponding author for this work

Center for Advanced Studies in Bioscience Innovation Law

Research output: Contribution to journal › Journal article › Research › peer-review

16 Citations (Scopus)

32 Downloads (Pure)

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.

Original language	English
Article number	105670
Journal	Computer Law & Security Review
Volume	45
Number of pages	10
ISSN	0267-3649
DOIs	https://doi.org/10.1016/j.clsr.2022.105670
Publication status	Published - 2022

Keywords

Faculty of Law
artificial intelligence
data
healthcare
collective data management

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10.1016/j.clsr.2022.105670Licence: CC BY-NC-ND

1-s2.0-S0267364922000188-mainFinal published version, 564 KBLicence: CC BY

Cite this

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title = "Incentivizing the Sharing of Healthcare Data in the AI Era",

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.",

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AU - Minssen, Timo

AU - Sideri, Katerina

AU - Yu, Helen

AU - Corrales Compagnucci, Marcelo

PY - 2022

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AB - 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.

KW - Faculty of Law

KW - artificial intelligence

KW - data

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