Incentivizing the Sharing of Healthcare Data in the AI Era

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

Standard

Incentivizing the Sharing of Healthcare Data in the AI Era. / Panagopoulos, Andreas ; Minssen, Timo; Sideri, Katerina; Yu, Helen; Corrales Compagnucci, Marcelo.

In: Computer Law & Security Review, Vol. 45, 105670, 2022.

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

Harvard

Panagopoulos, A, Minssen, T, Sideri, K, Yu, H & Corrales Compagnucci, M 2022, 'Incentivizing the Sharing of Healthcare Data in the AI Era', Computer Law & Security Review, vol. 45, 105670. https://doi.org/10.1016/j.clsr.2022.105670

APA

Panagopoulos, A., Minssen, T., Sideri, K., Yu, H., & Corrales Compagnucci, M. (2022). Incentivizing the Sharing of Healthcare Data in the AI Era. Computer Law & Security Review, 45, [105670]. https://doi.org/10.1016/j.clsr.2022.105670

Vancouver

Panagopoulos A, Minssen T, Sideri K, Yu H, Corrales Compagnucci M. Incentivizing the Sharing of Healthcare Data in the AI Era. Computer Law & Security Review. 2022;45. 105670. https://doi.org/10.1016/j.clsr.2022.105670

Author

Panagopoulos, Andreas ; Minssen, Timo ; Sideri, Katerina ; Yu, Helen ; Corrales Compagnucci, Marcelo. / Incentivizing the Sharing of Healthcare Data in the AI Era. In: Computer Law & Security Review. 2022 ; Vol. 45.

Bibtex

@article{01a746e01e5f4cd0aecf7e32433f4d41,
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.",
keywords = "Faculty of Law, artificial intelligence, data, healthcare, collective data management",
author = "Andreas Panagopoulos and Timo Minssen and Katerina Sideri and Helen Yu and {Corrales Compagnucci}, Marcelo",
year = "2022",
doi = "10.1016/j.clsr.2022.105670",
language = "English",
volume = "45",
journal = "Computer Law and Security Review",
issn = "0267-3649",
publisher = "Elsevier Advanced Technology",

}

RIS

TY - JOUR

T1 - Incentivizing the Sharing of Healthcare Data in the AI Era

AU - Panagopoulos, Andreas

AU - Minssen, Timo

AU - Sideri, Katerina

AU - Yu, Helen

AU - Corrales Compagnucci, Marcelo

PY - 2022

Y1 - 2022

N2 - 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.

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

KW - healthcare

KW - collective data management

U2 - 10.1016/j.clsr.2022.105670

DO - 10.1016/j.clsr.2022.105670

M3 - Journal article

VL - 45

JO - Computer Law and Security Review

JF - Computer Law and Security Review

SN - 0267-3649

M1 - 105670

ER -

ID: 281101613