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 pr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Cryptography |
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| Online Access: | https://www.mdpi.com/2410-387X/9/2/24 |
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| _version_ | 1850156569052839936 |
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| author | Manar Alnasser Shancang Li |
| author_facet | Manar Alnasser Shancang Li |
| author_sort | Manar Alnasser |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-355baa32890948a5bc5e50d501d89897 |
| institution | OA Journals |
| issn | 2410-387X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cryptography |
| spelling | doaj-art-355baa32890948a5bc5e50d501d898972025-08-20T02:24:29ZengMDPI AGCryptography2410-387X2025-04-01922410.3390/cryptography9020024Privacy-Enhancing Technologies in Collaborative Healthcare AnalysisManar Alnasser0Shancang Li1School of Computer Science and Informatics, Cardiff University, Cardiff CF10 3AT, UKSchool of Computer Science and Informatics, Cardiff University, Cardiff CF10 3AT, UKHealthcare 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.https://www.mdpi.com/2410-387X/9/2/24privacyprivacy enhancing technologieshealthcarecollaboration analysis |
| spellingShingle | Manar Alnasser Shancang Li Privacy-Enhancing Technologies in Collaborative Healthcare Analysis Cryptography privacy privacy enhancing technologies healthcare collaboration analysis |
| title | Privacy-Enhancing Technologies in Collaborative Healthcare Analysis |
| title_full | Privacy-Enhancing Technologies in Collaborative Healthcare Analysis |
| title_fullStr | Privacy-Enhancing Technologies in Collaborative Healthcare Analysis |
| title_full_unstemmed | Privacy-Enhancing Technologies in Collaborative Healthcare Analysis |
| title_short | Privacy-Enhancing Technologies in Collaborative Healthcare Analysis |
| title_sort | privacy enhancing technologies in collaborative healthcare analysis |
| topic | privacy privacy enhancing technologies healthcare collaboration analysis |
| url | https://www.mdpi.com/2410-387X/9/2/24 |
| work_keys_str_mv | AT manaralnasser privacyenhancingtechnologiesincollaborativehealthcareanalysis AT shancangli privacyenhancingtechnologiesincollaborativehealthcareanalysis |