De-identified refers to the process of removing or obscuring personal identifiers from a dataset, ensuring that the identities of individuals cannot be readily determined from the data. This is crucial in fields such as healthcare, research, and data analysis to protect privacy while allowing the use of information for analysis and other purposes.
De-identified meaning with examples
- In a medical study, researchers de-identified patient records to analyze health trends without exposing individual identities, thus maintaining confidentiality while still providing valuable insights.
- The company implemented strict protocols to ensure that customer data was de-identified before being used for marketing analysis, so that sensitive personal information could not be traced back to any individual.
- During the data-sharing process, all datasets were de-identified to protect participant confidentiality, enabling researchers to share findings without compromising anyone’s privacy.
- Legal regulations often require that data be de-identified prior to its release to public databases, protecting individual privacy while allowing for valuable research opportunities.
- Healthcare systems are increasingly aware of the need for de-identified data to comply with privacy laws, using such information to improve services without risking patient identity.