Healthcare Systems
Anonymization is the process of removing or altering personally identifiable information from datasets, ensuring that individuals cannot be readily identified from the data. This practice is crucial in the realm of healthcare data analytics and big data, as it helps protect patient privacy while still allowing valuable insights to be gained from the aggregated data. Anonymization plays a significant role in facilitating research, enabling organizations to share and analyze data without compromising individual confidentiality.
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