Practical AI Governance for Modern Healthcare Systems
The demand for AI in healthcare is advancing faster than manual governance can handle, leaving organizations struggling to evaluate new tools without stalling innovation. To close this gap, healthcare leaders need to adopt efficient, agentic GRC workflows to safely accelerate adoption without increasing headcount or compromising HIPAA, NIST, and clinical safety compliance.
In this session, see how the LogicGate platform leverages agentic capabilities and automates GRC workflows to drive effective AI Governance while drastically speeding up intake and continuous oversight. Learn to automate risk triage, link models to TPRM frameworks, and break down silos across IT, Privacy, Legal, and Clinical teams.
What You’ll Learn
- Vendor Ingestion: Streamline how prospective vendor AI models enter and move through your review pipeline.
- Centralized Intake: Standardize cross-departmental AI requests into a single, visible enterprise inventory.
- Automated Triage: Accelerate risk assessments using agentic workflows linked directly to GRC frameworks.
- Continuous Oversight: Track AI model performance, safety, and compliance long after initial approval.