Get more from what you already own.
Premature replacements
Idle assets
Costly capital decisions
Without data-driven insight, health systems risk underutilizing the assets they have and overspending on the ones they don’t need.
How TMX Optimize turns asset data into action.
Get more from your assets with proactive recommendations on when to replace, upgrade, dispose, or reallocate.
TMX Optimize employs utilization data, lifecycle analysis, and redeployment intelligence to help health systems gain a clearer view of how to make the most of existing assets, reduce costs, and get more out of their equipment.
Our capabilities
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01
Capital planning optimization
Make more informed capital investment decisions, maximize asset utilization, and improve long-term asset performance. -
02
AI advisory layer
Agentic AI capabilities provide intelligent recommendations that identify optimization opportunities, support planning decisions, and help maximize the value of healthcare assets. -
03
RUDR Score®
The RUDR Score® is our proprietary algorithm for clinical asset decisions. It analyzes multiple elements including utilization, criticality, repair history, remaining useful life, cyber risk, and more to give every device a clear recommendation: Replace, Upgrade, Dispose, or Reallocate. -
04
Reallocation program
A digital marketplace for the equipment you already own. Browse, compare, and request idle or surplus devices from other sites of care, putting underutilized assets to work where they're needed most. Conserve capital, reduce surplus, and generate cash return on what you no longer need.
TMX Optimize: turning maintenance reality into capital decisions.
TMX Maintain produces operational truth: what’s working, what’s failing, what’s at risk.
TMX Optimize turns that truth into capital strategy with full clinical context.
TMX Protect calculates prioritized risk, then routes the work back to be mitigated.
TMX Locate ensures visibility into where every asset is and whether it’s ready for use.
Ready to see TMX Optimize in action?
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Trimedx internal data