Question

A health analytics team wants to release a public dashboard showing aggregate statistics (counts and averages) about patient populations across regions. Privacy engineering is concerned that analysts issuing many overlapping queries could reconstruct individual patient records from the aggregates over time. Which privacy-enhancing technique best addresses this specific reconstruction risk while still allowing useful aggregate reporting?

Accepted Answer

Apply differential privacy by injecting calibrated statistical noise into query results and enforcing a cumulative privacy budget across queries

Answer

Encrypt the underlying patient database at rest using AES-256 and restrict dashboard access with role-based access control

Answer

Pseudonymize patient identifiers by replacing them with tokens and storing the mapping key separately

Answer

Mask direct identifiers such as names and medical record numbers before loading data into the analytics warehouse