Re-identification risk

The possibility that an individual can be identified from supposedly anonymized data by combining multiple data points or matching against external datasets. People with disabilities face heightened re-identification risk because uncommon combinations of attributes — rare diagnoses, atypical usage patterns, unusual support needs — make them statistically distinguishable even in large anonymized datasets, with potentially serious consequences including discrimination and targeted exploitation.