Healthcare companies are using AI to support patient engagement, clinical workflows, operational efficiency, and administrative decision-making. But when AI touches patient data or influences care-related processes, governance must be rigorous, practical, and aligned with the regulatory and ethical demands of the healthcare sector.

Key issues include:

• Use and protection of patient data
• Compliance with HIPAA and other applicable health data requirements in connection with AI tools, vendors, and data flows
• Human oversight in clinical or care-adjacent decision-making
• Bias, reliability, and accountability in patient-facing or care-related applications
• Contract controls for AI vendors handling sensitive health information

Adopting AI in healthcare?

We help healthcare clients evaluate AI use cases, review data handling and vendor arrangements, implement controls for high-risk deployments, and build governance frameworks that support responsible innovation without compromising compliance or patient trust.