Privacy-Enhancing Technologies in Collaborative Healthcare Analysis
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.
Authors
- Shancang Li (ORCID: https://orcid.org/0000-0001-5663-7420)
- M. Al‐Nasser
Institutions
- King Saud University (SA)
- Cardiff University (GB)
Publication Details
- Journal
- Cryptography
- Published
- 2025-04-22
- DOI
- https://doi.org/10.3390/cryptography9020024
- Citations
- 1
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 2.48