Did You Know - that high fidelity synthetic data can still carry a 20% to 60% re-identification risk?
Privacy risks in #syntheticdata don’t disappear, they just become harder to detect. As synthetic data scales across #healthcare, high-fidelity datasets can begin to mirror real-world outliers more closely. This makes them vulnerable to linkage attacks, where individuals can still be re-identified with 20–60% accuracy depending on how the #data is generated. What was assumed to be anonymized starts to become traceable, shifting privacy from a guarantee to a measurable #risk. This is why modern compliance depends on rigorous evaluation, ensuring data can be safely used without compromising patient confidentiality. Learn how Healthark enables privacy-safe, governed real-world evidence!
