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NewYork-Presbyterian today announced its adoption of Signal 1’s AI Management System, or AIMS, and plans to work closely with the technology company to support the safe management and monitoring of artificial intelligence technologies across the institution, establishing the NewYork-Presbyterian Signal 1 AIMS partnership as a centralized governance model for the health system’s growing AI portfolio.
What This AI Management Platform Covers
The system will oversee AI tools that help detect cancer and structural heart disease to applications that support discharge planning and clinical documentation. With a shared commitment to transforming care through innovation, the health system has been working closely with Signal 1 to design the platform and establish best practices for responsible AI management in healthcare.
A Collaborative Design Process
This collaborative approach to designing the platform itself, rather than adopting a pre-built off-the-shelf solution, suggests the institution sought a governance system specifically tailored to the practical realities of managing AI across its own clinical and operational environment.
How This Builds on an Existing AI Governance Framework
The hospital has established a rigorous governance framework to evaluate and guide the use of AI, with a focus on safety, performance and accountability to enhance care delivery for patients and staff. Signal 1’s AIMS builds on that foundation by providing a centralized system to manage all AI technologies, including predictive AI, generative AI, and emerging AI agents, with standardized risk assessment, continuous monitoring, bias detection, and audit capabilities.
Why Managing an Entire AI Portfolio Matters
“As healthcare organizations deploy AI across more clinical and operational workflows, the challenge shifts from evaluating individual solutions to managing an entire AI portfolio,” said Tomi Poutanen, co-founder and CEO of Signal 1. This shift in framing, from individual tool evaluation to portfolio-wide management, reflects a broader challenge health systems face as their AI tool counts grow into the dozens or hundreds.
Signal 1’s Perspective on This Partnership
“NewYork-Presbyterian is taking a forward-looking approach by establishing the infrastructure needed to govern, monitor, and continuously improve AI at enterprise scale,” Poutanen said. “We are proud to support their vision, and to work closely together to establish best practices for responsible AI management in healthcare.”
Why Enterprise-Scale Infrastructure Matters Now
Poutanen’s framing of this as infrastructure for enterprise-scale AI governance, rather than a point solution for a single use case, positions this partnership as addressing a structural challenge facing large health systems broadly, not just a one-off technical integration.
What Standardized Risk Assessment and Monitoring Provide
By adding standardized risk assessment, continuous monitoring, bias detection, and audit capabilities across predictive AI, generative AI, and emerging AI agents simultaneously, this platform gives the health system a consistent framework for evaluating tools that otherwise might be assessed through different, potentially inconsistent processes depending on their category or origin.
A Model for Continuous Improvement
The emphasis on continuous monitoring, rather than one-time evaluation at deployment, reflects a growing recognition across the industry that AI tools require ongoing oversight as patient populations, clinical practices, and the underlying models themselves evolve over time.
What This NewYork-Presbyterian Signal 1 AIMS Partnership Means Going Forward
By centralizing oversight of AI tools spanning diagnostic detection, discharge planning, and clinical documentation under a single management system, the institution is positioning itself to apply consistent governance standards across its entire AI portfolio. Given the collaborative design process with Signal 1, this platform may reflect practical governance lessons that other large academic health systems facing similar AI scaling challenges could draw on as they build their own oversight infrastructure.
What to Watch Going Forward
As the health system and Signal 1 continue working together to establish best practices for responsible AI management, industry observers will likely watch how effectively this centralized system balances continuous monitoring and bias detection capabilities against the pace at which health systems need to deploy new AI tools. Given Poutanen’s characterization of the institution’s approach as “forward-looking,” this partnership could serve as an early reference point for how other major health systems structure enterprise-wide AI governance as their own AI portfolios continue to expand.
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