Data De-identification and Pseudonymity Statistics 2023
– Everything You Need to Know

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Data De-Identification And Pseudonymity Statistics 2023: Facts about Data De-Identification And Pseudonymity outlines the context of what’s happening in the tech world.

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Top Data De-Identification And Pseudonymity Statistics 2023

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Data De-Identification And Pseudonymity “Latest” Statistics

  • According to one well-known research, it is feasible to individually identify 87 percent of the US population with only three data points: a five-digit ZIP code, gender, and date of birth.[1]
  • When using the Safe Harbor de-identification technique, the first three digits of a ZIP code are converted to 000 for any such geographic area with 20,000 or fewer persons.[2]
  • The technique used by Rocher, Hendrickx, and Montjoye achieves AUC values for predicting individual uniqueness ranging from 0.84 to 0.97 on 210 populations, with a low false-discovery rate.[3]
  • Rocher, Hendrickx, and Montjoye discovered that 99.98% of Americans could be successfully re-identified in any dataset using 15 demographic parameters using our approach.[3]
  • According to a recent poll, more than 72% of US residents are concerned about sharing personal information online.[3]
  • Journalists re-identified politicians in an anonymized browser history dataset of 3 million German residents in 2016, revealing their medical information and sexual preferences.[3]
  • The Australian Department of Health made de-identified medical information available to the public for 10% of the population, only for researchers to re-identify them six weeks later.[3]
  • 15 demographic characteristics would distinguish 99.98% of persons in Massachusetts.[3]
  • According to 2010 data, 19% of healthcare businesses had a data breach in the preceding year (HIMSS Analytics, 2010).[4]
  • When using the Safe Harbor method of de-identification, all elements of dates (except year) for dates that are directly related to an individual, such as birth date, admission date, discharge date, death date, and all ages over 89, as well as all elements of dates (including year) indicative of such age, may be aggregated into a single category of age 90 or older.[2]

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  1. iapp –
  2. hhs –
  3. nature –
  4. nih –

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