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Data Anonymization Techniques

Meaning

Data Anonymization Techniques are a collection of systematic methods and procedures used to modify or remove personally identifiable information (PII) from clinical or research datasets. The goal of this process is to de-identify the data irreversibly, ensuring that individual patients cannot be directly or indirectly linked back to their sensitive health information. This critical practice is a cornerstone of ethical data sharing, facilitating broad scientific research and analysis, particularly in areas like hormonal and genomic medicine, while rigorously protecting patient privacy rights and complying with regulations such as HIPAA and GDPR.