A sandbox study proposal for private and distributed health data analysis
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866917901991149568 |
|---|---|
| author | Brännvall, Rickard Svensson, Hanna Kaliyaperumal, Kannaki Burden, Håkan Stenberg, Susanne |
| author_facet | Brännvall, Rickard Svensson, Hanna Kaliyaperumal, Kannaki Burden, Håkan Stenberg, Susanne |
| contents | This paper presents a sandbox study proposal focused on the distributed processing of personal health data within the Vinnova-funded SARDIN project. The project aims to develop the Health Data Bank (Hälsodatabanken in Swedish), a secure platform for research and innovation that complies with the European Health Data Space (EHDS) legislation. By minimizing the sharing and storage of personal data, the platform sends analysis tasks directly to the original data locations, avoiding centralization. This approach raises questions about data controller responsibilities in distributed environments and the anonymization status of aggregated statistical results. The study explores federated analysis, secure multi-party aggregation, and differential privacy techniques, informed by real-world examples from clinical research on Parkinson's disease, stroke rehabilitation, and wound analysis. To validate the proposed study, numerical experiments were conducted using four open-source datasets to assess the feasibility and effectiveness of the proposed methods. The results support the methods for the proposed sandbox study by demonstrating that differential privacy in combination with secure aggregation techniques significantly improves the privacy-utility trade-off. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_14556 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A sandbox study proposal for private and distributed health data analysis Brännvall, Rickard Svensson, Hanna Kaliyaperumal, Kannaki Burden, Håkan Stenberg, Susanne Cryptography and Security Computers and Society Distributed, Parallel, and Cluster Computing 68M14 (Primary) 92C60, 68P25, 68P20 (Secondary) K.4.1; J.3.2; H.2.8; D.4.6 This paper presents a sandbox study proposal focused on the distributed processing of personal health data within the Vinnova-funded SARDIN project. The project aims to develop the Health Data Bank (Hälsodatabanken in Swedish), a secure platform for research and innovation that complies with the European Health Data Space (EHDS) legislation. By minimizing the sharing and storage of personal data, the platform sends analysis tasks directly to the original data locations, avoiding centralization. This approach raises questions about data controller responsibilities in distributed environments and the anonymization status of aggregated statistical results. The study explores federated analysis, secure multi-party aggregation, and differential privacy techniques, informed by real-world examples from clinical research on Parkinson's disease, stroke rehabilitation, and wound analysis. To validate the proposed study, numerical experiments were conducted using four open-source datasets to assess the feasibility and effectiveness of the proposed methods. The results support the methods for the proposed sandbox study by demonstrating that differential privacy in combination with secure aggregation techniques significantly improves the privacy-utility trade-off. |
| title | A sandbox study proposal for private and distributed health data analysis |
| topic | Cryptography and Security Computers and Society Distributed, Parallel, and Cluster Computing 68M14 (Primary) 92C60, 68P25, 68P20 (Secondary) K.4.1; J.3.2; H.2.8; D.4.6 |
| url | https://arxiv.org/abs/2501.14556 |