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Protecting Patient Data: A Blueprint for Securing Protected Health Information


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Karen Gispanski, Hugo Chun Hin Lai, Matt Cerny, Mike Levin and Daniel Brady explore Change Healthcare lessons, AI governance frameworks and zero trust architectures for patient data protection in hybrid cloud environments.

Healthcare organizations face unprecedented cybersecurity challenges as they navigate complex third-party ecosystems, integrate AI technologies and manage sensitive patient data across hybrid cloud environments. The Change Healthcare incident served as a wake-up call, highlighting critical gaps in third-party risk management and the cascading financial impacts that can threaten organizational survival. As healthcare systems increasingly adopt AI for medical diagnosis and patient care, new governance frameworks must balance innovation with patient safety and regulatory compliance.

In this session, the panel of experts will cover:

  • Change Healthcare lessons learned and third-party risk management strategies;
  • AI governance frameworks for safe medical diagnosis integration;
  • Cloud security and zero trust architectures for patient data protection. 

Here is the course outline:

Protecting Patient Data: A Blueprint for Securing Protected Health Information