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…