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Data Hungry AI: Balancing the Protection of Patient Data with Innovation in the European Union’s Remote Healthcare Systems




AuthorsMutale, Chisanga

PublisherUniversity of Turku

Publication year2025

Journal:Insights

Issue16.9.2025

eISSN2984-5246

Web address https://insights.utu.fi/data-hungry-ai-balancing-the-protection-of-patient-data-with-innovation-in-the-european-unions-remote-healthcare-systems/

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/499950863


Abstract

Integrating AI in remote patient monitoring systems (RPMS) has advanced patient care in the European Union. Still, it raises data compliance challenges under the General Data Protection Regulation (GDPR) due to AI’s need for vast data. In this paper, I examine this conflict with the GDPR principle of data minimisation and posit that the enforcement of the GDPR alongside the EU Artificial Intelligence Act (AIA) will cushion this conflict. I conclude by highlighting that the coming into force of the European Health Data Space (EHDS) will help balance the dilemma between the need to uphold the principle of data minimisation and allow AI-driven scientific progress.


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Last updated on 2025-03-11 at 11:18