In data handling, when should data be de-identified?

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Protecting individuals’ privacy by removing or masking information that could identify them is a foundational practice in data handling. De-identification lowers the chance that someone could be linked to the data, which is especially important when sharing information for research, case reports, or outcome evaluation. Because you should minimize risk whenever possible, de-identification should be used to protect confidentiality whenever feasible. It isn’t correct to say it’s never necessary, nor that it’s only required for legal cases, nor that it should be applied to all data regardless of privacy concerns. There are times when identifiers are needed for legitimate purposes or when removing them would compromise essential data, but the guiding principle remains: use de-identification to protect confidentiality whenever possible. Keep in mind, though, that de-identification reduces but may not completely eliminate re-identification risk, so robust methods and careful data handling are still important.