Projected size of the medical equipment predictive maintenance market by 2030²
The cost of each equipment downtime occurrence in the U.S.²
The cost of predictive maintenance compared to fixing a machine after it breaks³
Longer lifespan for equipment with predictive maintenance⁴
Modality-level support
Magnetic Resonance (MR)
Supported by OnWatch Predict and OnWatch offerings
Computed Tomography (CT)
Supported by OnWatch Predict, OnWatch and Tube Watch offerings
Image Guiding Systems (IGS)
Supported by OnWatch Predict, OnWatch and Tube Watch offerings
Molecular imaging (MI)
Supported by Tube Watch offerings
Mammography
Supported by OnWatch Predict and Tube Watch offerings
Radiography systems
Supported by the OnWatch offering
Our real-time system surveillance combines IoT data collection, digital twin technology, AI and machine learning to create a system that can help anticipate and address equipment issues before they impact patient experience or workflow.
Just one day of unplanned downtime can result in canceled scans and lost potential revenue.5 Thanks to digital twin technology, we have the ability to assess the remaining life of a component in a system before it’s down or limited in use. Planning for maintenance ahead of a failure can help decrease downtime.
We offer proactive service scheduling through solutions like OnWatch and Tube Watch to help minimize unplanned downtime, reduce costs and optimize care delivery by helping to ensure equipment reliability and availability.
When an issue is identified through predictive maintenance, we can work to quickly assess the problem, develop a repair plan, and dispatch parts for timely on-site service. Some failure modes are able to help significantly reduce unplanned downtime through this process.
Hours of downtime saved6,7
Reduction of unplanned downtime for failure of the X-ray tube or X-ray chain with Tube Watch8
Reduction of unplanned downtime for failure of the X-ray tube or X-ray chain with Tube Watch9
