The digitization of healthcare generates unprecedented amounts of sensitive patient data. While this data fuels AI development and personalized medicine, it also raises serious privacy concerns that must be addressed.

Healthcare organizations must navigate complex regulations like HIPAA while implementing robust security measures to protect patient information. Encryption, access controls, and anonymization techniques are essential, but they must be balanced against the need for data accessibility in clinical settings.

Blockchain technology and privacy-preserving machine learning techniques offer promising solutions, allowing data analysis while maintaining patient privacy. As healthcare technology evolves, developing frameworks that protect privacy without stifling innovation will be crucial.