Privacy-enhancing technologies in collaborative healthcare analysis

Alnasser, Manar and Li, Shancang 2025. Privacy-enhancing technologies in collaborative healthcare analysis. Cryptography 9 , 24. 10.3390/cryptography9020024

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Abstract

Healthcare data is often fragmented across different institutions (hospitals, clinics, research centers), creating data silos. Privacy-enhancing technologies (PETs) play a fundamental role in collaborative healthcare analysis, enabling healthcare providers to improve care while protecting patient privacy. By providing a compliant framework for data sharing and research, PETs facilitate collaboration while adhering to stringent regulations like HIPAA and GDPR. This work conducts a comprehensive survey to investigate PETs in healthcare industry. It investigates the privacy requirements and challenges specific to healthcare, and the key enabling PETs are explored. A review of recent research trends that identify challenges, and AI related concerns is presented.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Computer Science & Informatics
Publisher:	MDPI
Date of First Compliant Deposit:	7 May 2025
Date of Acceptance:	15 April 2025
Last Modified:	07 May 2025 12:30
URI:	https://orca.cardiff.ac.uk/id/eprint/178096

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