[Webinar Series] Ethical AI in Healthcare, Part I: Patient-Centered Concerns

Artificial intelligence is no longer a futuristic concept in healthcare. It’s here, and moving fast. From diagnostics and risk stratification to patient communications and operational workflows, AI is transforming how care is delivered.
But with speed comes risk, and growing scrutiny.
Healthcare leaders are now being called to lead not just innovation, but responsible, compliant, and ethical implementation.
That’s why our team brought together leading minds in business intelligence, healthcare innovation, and regulatory strategy for our high-demand executive webinar: Ethical AI in Healthcare: Series 1 – Patient-Centered Concerns
Now, you can watch it on demand and access key insights into how to build AI systems that are compliant, fair, and strategically aligned with your organization’s mission.
In this recorded session, Edison Sepúlveda (VP of Product Innovation) and Rafael Peña (Director of BI) walk through the patient, operational, and regulatory implications of AI in healthcare.
Key topics covered include:
- What “patient-centered AI” actually means—and why it matters more than ever
- The top 3 regulatory changes shaping AI in healthcare for 2024–2025
- Examples of how poorly governed AI can impact patient equity and trust
- How to assess your own AI tools for ethical risk and compliance gaps
- Steps to build a scalable, cross-functional AI governance strategy
“AI has enormous potential, but without a framework built around transparency, accountability, and fairness, it risks doing real harm. It’s up to leadership to shape the path forward.”
— Edison Sepúlveda
Don’t miss the opportunity to strengthen your AI strategy for 2025 and beyond, with a foundation rooted in ethics, compliance, and patient-centered outcomes.