Resource center, Webinars

[Webinar] AI in Healthcare – Data Security & Governance Concerns

ai in healthcare - data security and governance

Artificial intelligence has the potential to transform the way healthcare organizations deliver care and manage operations. But while the opportunities are vast, so are the risks. Without strong governance frameworks, AI can expose providers to compliance gaps, security threats, and, most importantly, loss of patient trust.

That’s why, in Part II of our Ethical AI in Healthcare Series, we tackled one of the most pressing questions facing the industry today: How do you deploy AI in healthcare responsibly, ensuring innovation remains ethical, secure, and compliant?

Here are some highlights from the discussion:

  • Regulatory updates shaping AI data use – what healthcare leaders need to know today

  • Risk mitigation strategies – actionable steps for deploying AI safely in both clinical and administrative settings

  • Clarity on governance challenges – from explainability to accountability, and how to address them

  • Confidence to move forward – frameworks that empower executives, compliance officers, clinicians, and IT leaders to make informed decisions

Why Governance Matters in Healthcare AI

AI systems in healthcare aren’t like other technologies. They process sensitive patient data, support critical clinical decisions, and must comply with evolving regulations.

Without the right governance in place, organizations risk:

  • Non-compliance with regulatory updates and privacy laws

  • Security vulnerabilities that put patient data at risk

  • Bias and ethical blind spots that could undermine care quality

  • Erosion of patient trust—the foundation of healthcare

Governance frameworks ensure that innovation doesn’t outpace responsibility. They create a roadmap for risk management, ethical decision-making, and sustainable AI adoption.

Looking Ahead

This was Part II of our Ethical AI in Healthcare Series, but the conversation doesn’t stop here. As regulations tighten and AI capabilities grow, the organizations that succeed will be those who treat governance as a strategic advantage, not a compliance checkbox.

Stay tuned for the next session in our series, where we’ll continue exploring how to balance progress with responsibility in healthcare AI.

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