AI tools are already making decisions. You should know if
they're getting it wrong.
Grid Health gives you visibility and control over AI systems across your health system. Monitor performance, detect drift, and make governance decisions with confidence.
Health systems are running AI they can't fully see.
Tool Visibility
Which AI tools are actually running today?
Performance Drift
Is performance where it was at deployment - or has it drifted?
Clinical blind spots
When a model's output changes, clinical behavior often doesn't.
Unaccountable spend
Are we getting value for what we’re paying?
One place to monitor, understand, and control AI across your health system.
Grid Health centralizes AI visibility. See what's running, how it's performing, and what it costs. Make informed decisions about your AI investments.
Monitor performance
Monitor AI performance across vendor tools, EHR-embedded models, and internal systems
Detect drift
Catch the moment a model starts behaving differently from how it was validated
Understand adoption
See who's actually using each tool, how often, and how their behavior has changed.
Track ROI
Map AI spend to actual utilization and outcomes.
Start with visibility,
and one workflow.
Expand from there.
Pick one workflow
Start where AI matters most - ambient documentation, coding, or patient communication. Focused, not broad.
Connect to what you already have
Grid runs on existing infrastructure. Read-only where possible. No new pipelines required to start.
Get real signal
Performance trends, usage patterns, drift detection, cost alignment. Answers to questions leadership is already asking.
Deliver outputs your team can use
built around how health systems already govern technology.
You know your license count.
Here's what you don't know.
What you can't see
Whether your scribes are actually saving clinicians time - or just adding a step they work around
Whether the AI is being reviewed or rubber-stamped at scale
Which specialties or sites have silently stopped trusting the output
Whether you could justify the spend to your CFO today
with Grid
Acceptance and editing patterns across clinicians, specialties, and sites
Drift signals - where behavior is changing in ways that indicate risk
Over-trust patterns that may affect documentation quality
Utilization mapped to cost - so you know what's earning its keep
Who needs this
Grid Health is the operating layer for every team accountable for AI in your health system.
Clinical and digital leaders
Own AI adoption and need proof it's working.
IT and data leaders
Manage infrastructure and need integration without disruption.
Compliance and risk teams
Audit-ready logs, governance documentation, and drift alerts.
Governance and leadership
ROI and utilization
Grid, powered by CHARGE
Grid was built in direct response to what CHARGE@ members are dealing with in production. CHARGE@ is a community of 3,000+ health system leaders - CMIOs, CIOs, and AI operations leads - actively deploying and governing AI across their organizations. The problems Grid solves are the ones they raised.
Start with one workflow
Use the data you already have. Get real visibility in weeks. If the Most health systems see their first real AI visibility within two to four weeks. If the signal is there, the path forward becomes obvious.
FAQ
Questions about Grid Health and how it works in your health system.
Grid Health is designed for collaborative oversight. Clinical leaders see adoption and outcomes. IT leaders see infrastructure and integration. Compliance teams see audit trails and governance data. Everyone sees what matters to their role.
Grid connects to your existing systems without heavy lift. Most health systems see initial visibility in two to four weeks. We work with your IT team to ensure smooth integration with minimal disruption.
Grid Health works with both. Whether you're running vendor AI systems or internal models, Grid provides the same visibility and monitoring. The platform is agnostic to the source.
We start with one workflow. You get visibility. Then you decide what comes next. No long-term commitments. No forced expansion. You control the pace.
Drift is when an AI model's performance degrades from its baseline. It might be subtle. A scribe that starts missing certain note types. A diagnostic tool that becomes less accurate. Grid detects these patterns before they impact clinical outcomes.