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.

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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
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article

Privacy-Enhancing Technologies in Collaborative Healthcare Analysis

Shancang Li, M. Al‐Nasser
1 citations
Cryptography
Privacy-Preserving Technologies in Data
2.48
article

Privacy-Enhancing Technologies in Collaborative Healthcare Analysis

Shancang Li, M. Al‐Nasser
article en
1 citations

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.

CryptographyVol. 9(2)
King Saud University (SA), Cardiff University (GB)
Openalex Percentile: Top 11%
Privacy-Preserving Technologies in Data
2.48
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