NYC Health + Hospitals’ CIO and interim Data and AI Officer briefed the Medical and Professional Affairs/IT Committee on a maturing enterprise AI governance program for clinical and business tools. The team has moved from a simple ServiceNow question to a detailed risk-based intake and triage process that categorizes AI use cases as low, medium, or high risk, assesses vendor maturity and adoption, and requires rigorous monitoring for any tool that touches protected health information or clinical decisions. They emphasized the need to build a robust framework around growing AI demand across operations, business, and clinical workflows, including bias monitoring and Section 1557 compliance for clinical decision support.No specific procurement was named, but NYC H+H is clearly scaling its AI portfolio and evaluating numerous vendor tools, suggesting upcoming needs for governance platforms, model monitoring, risk-scoring, and implementation support. Vendors specializing in healthcare AI governance, validation, and monitoring can engage around helping the system operationalize its framework and vet third‑party solutions.

The governance program covers AI use in both clinical and business settings and demands evidence of vendor maturity and performance on NYC H+H data before full deployment.