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Hospital and health system counsel face unprecedented challenges as AI transforms patient data into a critical asset, requiring navigation of complex de-identification strategies, state AI and privacy law compliance, and model ownership issues. This session provides in-house legal teams with a practical framework for managing AI-driven healthcare data transactions and governance structures they were never formally trained to handle.
United StatesFood, Drugs, Healthcare, Life Sciences
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AI is transforming patient data into one of health care’s most valuable assets — and hospital and health system counsel are being asked to manage transactions they were never trained for. From de-identification strategy and state AI and privacy law compliance to fine-tuned model ownership, the contracting and governance challenges are new, complex, and consequential. This session gives in-house counsel a practical roadmap for navigating them.
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