AI and Data Privacy in Healthcare: Compliance with HIPAA, GDPR, and emerging regulations

Abstract

By improving diagnosis, personalized treatment & the operation optimization, AI is transforming healthcare. Protecting privacy & following policies becomes very essential when AI systems examine vast amounts of health information. Strong guidelines for the gathering, storing & distributing healthcare data are established by laws such as the General Data Protection Regulation (GDPR) in Europe & also the Health Insurance Portability and Accountability Act (HIPAA) in the USA. Concurrent with this worldwide explosion of new norms are unique demands accompanying them. Balancing innovation with patient privacy presents challenges for developers of AI as well as medical professionals. Main concerns include protecting data against leaks, ensuring openness & objectivity in AI models & maintaining compliance throughout several nations. Techniques include privacy-preserving AI, federated learning & encryption might help to lower the risks while also allowing AI to greatly improve healthcare. Effective management of the evolving framework of data privacy regulations depends on the cooperation among regulators, healthcare organizations & technology companies, thereby maximizing the capacities of AI

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