Romanian Cyber Security Journal / Spring 2025, No. 1, Vol. 7

AI-driven Health Data Governance: The Risks and Challenges of Datafication

Monica TURINICI, Ioana PETCU, Corina PARASCHIV

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Abstract

Artificial intelligence (AI) integration in healthcare is transforming data governance and profoundly impacting medical practice. While AI promises advancements in diagnostic accuracy and personalized treatments, it also raises major concerns regarding data security, data privacy, fairness, and the autonomy of healthcare professionals. This article examines how the datafication of healthcare, where medical data becomes a valuable and contested resource, generates new ethical issues regarding the access to medical data, patient consent, and data security. Based on a thorough literature review, the article highlights key challenges in the AI-driven medical data governance and identifies potential risks of datafication, such as fragmentation of access, security breaches, patient misinformation, unauthorized medical data use, data commercialization, or the erosion of medical privacy.

Keywords

Patient consent, Risks of datafication, Medical data governance, AI in healthcare, Medical data privacy, Data commercialization