Healthcare AI Governance — Risks, Compliance, and Frameworks Explained скачать в хорошем качестве

Healthcare AI Governance — Risks, Compliance, and Frameworks Explained

AI adoption in healthcare is accelerating — but AI governance, security, privacy, and organizational readiness remain major barriers to safe and scalable implementation. In this informal coffee chat, John Zaranti (VP of Technology at Medix) sits down with AI governance expert Max Maile to break down what healthcare leaders should be thinking about right now when evaluating, selecting, and deploying AI solutions. This conversation explores three critical pillars of AI governance in healthcare: ☕ Vendor Management What to ask, what to verify, and what to continuously monitor when working with AI vendors 🔐 Security & Privacy How to protect PHI, manage AI risk, and understand data exposure across healthcare environments 🏥 Organizational Readiness Driving adoption, defining ownership, and separating real AI value from hype The discussion also references an AI Governance Readiness Assessment designed to help healthcare organizations evaluate their current governance posture, identify gaps, and build a clear path forward. This session is ideal for healthcare IT leaders, compliance teams, clinical leadership, data governance stakeholders, and executives navigating responsible AI adoption. 📌 Learn more about AI Governance in Healthcare: https://www.medixteam.com/ai-governan... #AIGovernance #HealthcareAI #HealthIT #Cybersecurity #DataPrivacy #DigitalHealth