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A large healthcare data brokerage firm faced regulatory penalties this week after authorities concluded that its anonymization of patient datasets was insufficient to prevent re-identification. Privacy regulators found that external parties could cross-reference supposedly “de-identified” data with publicly available information to infer the identities of certain individuals, especially in smaller communities or rare disease groups. The enforcement action included a substantial fine, mandatory improvements to de-identification techniques, and independent audits of future releases. Hospitals and insurers that supply data to brokers are now reassessing contractual clauses and technical safeguards, recognizing that privacy risk continues even after names and obvious identifiers are removed. The case sends a clear message: in the era of big data and powerful analytics, anonymization must be robust and continuously tested—not treated as a one-time checkbox.
03-12-2025