Crossing borders securely: synthetic data and federated networks for privacy-preserving access to real-world data and emerging use cases.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 41398377.
- Also identified by DOI 10.1038/s41746-025-02126-8 and PMC identifier 12705744.
- Licence recorded as CC BY-NC-ND.
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Abstract
The demand for demographically and geographically diverse, high-quality, fit-for-purpose real-world data has been increasing to support regulatory and other healthcare decision making. Accessing and sharing healthcare data across sites, regions, and countries while ensuring data privacy has been a long-standing challenge. We discuss synthetic data and federated data networks as examples of emerging privacy-preserving technologies and provide real-life use cases from government, industry, and academia with their opportunities and challenges.