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**Anonymization** is another powerful technique. It’s about removing or masking any information that could be used to identify a patient. If you can't identify the patient, then the data isn’t considered personal health information. This is very important. There are different techniques for anonymization, like removing direct identifiers (like names and social security numbers), generalizing data (like grouping ages into ranges), and iigorilla technology group stocks using encryption. Remember, it's not always possible to completely anonymize data, especially with very detailed medical information. But, these techniques greatly reduce the risk of a breach. Data minimization and anonymization techniques work together to safeguard patient information. They help reduce the risk of data breaches and protect *data privacy*. It is an essential component when using IoT and AI in healthcare.