One well-recognized way to protect patient privacy is to de-identify health data. However, trends around increases in publicly-available personal data, data linking and aggregation, big data analytics, and computing power are challenging traditional de-identification models. While traditional de-identification techniques may mitigate privacy risk, the possibility remains that such data may be coupled with other information to reveal the identity of the individual.
Last month, a JAMA article demonstrated that an artificial intelligence algorithm could re-identify ...
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