What Health Data Anonymisation, Pseudonymisation & De-identification Techniques (2026) requires
Technical and legal standards for stripping health data of identifiable markers to enable secondary research and AI training without violating patient privacy. Distinguishes between pseudonymisation (reversible, still regulated data) and true anonymisation (irreversible, unregulated data).
Pillar: Medical & Healthcare · Authority: European Data Protection Board (EDPB) & US Department of Health and Human Services (HHS) · Version: 1.0.0 · Last updated:
Primary source: https://www.hhs.gov/hipaa/for-professionals/privacy/special-topics/de-identification/index.html
SHA-256 integrity: 624d5d1be6a5ce610baf7e5e9e3049d67793117e014b2f6b60719753a55f5faa
Primary Citations — 2 traced to source
- HIPAA Privacy Rule 45 CFR § 164.514 (De-identification)
- EDPB Guidelines 04/2020 on the use of location data and contact tracing tools (discusses anonymisation)
Access
- Discovery (free): /api/v1/nodes/health-data-anonymisation-pseudonymisation-2026.json — 6-field metadata
- Vault (full node): /api/v1/vault/nodes/health-data-anonymisation-pseudonymisation-2026.json — full 13-key payload, $0.01 USDC (L402/Skyfire/Direct Base)
- Canonical URL: https://bidda.com/intelligence/health-data-anonymisation-pseudonymisation-2026
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