As hospitals and health systems rapidly adopt AI-enabled tools — from diagnostic decision support to workflow automation — healthcare and privacy attorneys are increasingly called upon to guide clients through complex regulatory, contractual and governance challenges. At the same time, AI vendors are seeking access to patient data — an extraordinarily valuable competitive asset — to train their models, often giving little in return and creating potential compliance and liability risks.

This webinar will equip providers and in-house counsel with a clear understanding of how to structure AI vendor agreements, implement defensible AI governance frameworks and craft appropriate disclaimers and risk mitigation strategies for AI-enabled devices and clinical software.

Attendees will gain practical insights and a clear framework for safely deploying AI, evaluating vendor data requests and negotiating contracts that protect both patient privacy and institutional assets.

• AI Vendor Contracting: Key provisions for data rights, model updates, security obligations, indemnities, transparency and allocation of clinical decision risk.
• AI Governance and Compliance: Building internal policies for model validation, human oversight, documentation, and integrating HIPAA and state-level requirements.
• AI Use Cases in Healthcare: The growing use of clinical AI tools is driving a shift from reactive documentation-based diagnosis to proactive predictive insights, requiring careful navigation of patient data protections, consent and education.

Featuring:

• Elizabeth Litten, Partner, Chief Privacy and HIPAA Compliance Officer, Fox Rothschild
• Jonathan Stechmann, Partner, Corporate and Technology, Fox Rothschild