Date: June 12, 2026
Time: 8:30 AM CDT | 9:30 AM EDT | 7:00 PM IST
Topic: AI Governance in Healthcare: Certifying for the FDA AI Era
Abstract:
As AI becomes integral to healthcare, from diagnostics to clinical decision support, the need for robust governance and regulatory alignment is more critical than ever. With evolving expectations from the U.S. Food and Drug Administration on AI/ML-enabled medical devices, organizations must move beyond innovation and focus on certification, transparency, and continuous compliance. The current webinar explores how healthcare and life sciences organizations can build governance frameworks that align with FDA guidance while ensuring patient safety, data integrity, and model reliability. It provides practical insights into navigating regulatory pathways, managing lifecycle risks, and establishing audit-ready AI systems in a highly regulated environment. Join us to understand the role and impact of AI-driven cybersecurity in health care, building a robust data protection framework.
Key Takeaways:
- Understand FDA expectations for AI/ML-enabled healthcare solutions.
- Build governance frameworks aligned with regulatory and clinical requirements.
- Ensure data integrity, model transparency, and audit readiness.
- Manage AI lifecycle risks, including updates and model drift.
- Align AI systems with validation, documentation, and certification processes.
- Strengthen compliance through continuous monitoring and post-market surveillance.
- Enable safe and scalable AI adoption in regulated healthcare environments
Speaker:
Coy K. Murchison, Director of Privacy & AI Governance Consulting at Agilishare Solutions Group
Bio: Coy K. Murchison, JD, MBA, CHPS, SMC, is a Healthcare Privacy Leader and Director of Privacy & AI Governance Consulting at Agilishare Solutions Group. With 17+ years at the intersection of privacy, law, and emerging technology, she is a recognized authority on what it takes to govern AI responsibly in regulated healthcare environments.
Coy holds a Juris Doctor from Florida Coastal School of Law, an MBA in Healthcare Administration from Texas Woman’s University, and is certified in Healthcare Privacy & Security (CHPS) by AHIMA and as a ScrumMaster Certified professional. Her credentials reflect a rare ability to lead governance work that is legally sound, operationally executable, and built for the complexity of real-world healthcare.
She is the author of Artificial Intelligence and the Privacy Governance Model, a white paper that defines a strategic framework for embedding privacy into enterprise AI governance, which is the foundation of the expertise she brings to this session.
Her career includes architecting the medical device privacy and governance program at Texas Health Resources, building a HIPAA-compliant privacy program across 300+ clinics, and advancing a body of work that positions privacy as the cornerstone of responsible AI governance in healthcare.
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