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Help prevent unplanned downtime and reduce disruptions with the power of 24/7 remote monitoring and GE HealthCare predictive analytics software.*
- MI
- IGS
- CT
- MR
OnWatch Predict for PET/CT
OnWatch Predict helps transform unplanned downtime into proactive maintenance through continuous 24/7 monitoring of critical components and predictive analytics.
-22%
Estimated reduction in unplanned downtime, anticipating component failures before it happens1, 5
11h
Estimated average unplanned downtime saved1, 4
>99%
Estimated uptime on system OnWatch predict activated1, 2, 3
>$15K
Radiotracer (FDG) potential cost avoidance for a one day unplanned event6
OnWatch Predict for Image Guiding Solutions (IGS)**
OnWatch Predict helps you turn unplanned downtime into proactive, planned events with the power of 24/7 remote monitoring of the whole system and predictive analytics software.
Monitor
Keep a close eye on critical components indicators and performance trends
Predict
Apply healthcare predictive analytic power by AI to help cut unplanned downtime by 36%4, 7
Repair
Plan repair far in advance, around your schedule, to help fix proactively emerging issues
Restore
Maintain image quality and help improve uptime by ~18 hours4, 7
OnWatch Predict for Computed Tomography (CT)***OnWatch Predict for Image Guiding Solutions (IGS)*
Driving predictive, preventive and planned maintenance
Monitor: Keep a close eye on critical components indicators and performance trends
Predict: Apply healthcare predictive analytic power by AI to cut unplanned downtime by 58%
Repair: Plan repair far in advance, around your schedule, to help fix proactively emerging issues
Restore: Help maintain image quality and help improve uptime by 36 hours
Monitor: Keep a close eye on critical components indicators and performance trends
Predict: Apply healthcare predictive analytic power by AI to cut unplanned downtime by 58%
Repair: Plan repair far in advance, around your schedule, to help fix proactively emerging issues
Restore: Help maintain image quality and help improve uptime by 36 hours
~58%
Estimated reduction in unplanned downtime, anticipating component failure before it happens4, 8
~36h
Estimated average unplanned downtime saved4, 8, 10
>99%
Estimated uptime on system OnWatch Predict activated3, 8, 9
24/7
Continuous monitoring of your equipment to help maximize uptime and maintain image quality
OnWatch Predict for Magnetic Resonance (MR)
Driving predictive, preventive and planned maintenance
Monitor: Keep a close eye on critical components indicators and performance trends
Predict:Apply healthcare predictive analytic power by AI to cut unplanned downtime by 60%
Repair: Plan repair far in advance, around your schedule, to help fix proactively emerging issues
Restore: Help maintain image quality and help improve uptime by 28 hours
Monitor: Keep a close eye on critical components indicators and performance trends
Predict:Apply healthcare predictive analytic power by AI to cut unplanned downtime by 60%
Repair: Plan repair far in advance, around your schedule, to help fix proactively emerging issues
Restore: Help maintain image quality and help improve uptime by 28 hours
>60%
Reduction in unplanned downtime, anticipating component failure before it happens4, 11, 13
~28h
Average unplanned downtime saved for a six-month activation period11, 14, 15
~99%
Uptime measured on system OnWatch activated11, 12, 13
The OnWatch Predict advantage
Help overcome the disruptions with healthcare predictive analytics
Just one day of unplanned downtime can mean canceling scans and losing revenue. But what if you could see a system failure coming from far away? This could potentially maximize on-time exams, minimize disruptions and optimize exam revenue.
Keep close, continuous watch on critical components with real-time monitoring
OnWatch Predict uses healthcare Internet of Things technology and AI learning applied to real-time equipment data to drive new predictive analytics in healthcare.
Experience the predictive power of “digital twin”
OnWatch Predict compares your machine data against a digital twin—a virtual avatar of your system—to create a unique virtual model, based on AI learning. Information is collected and processed, predicting the estimated remaining life of all monitored components.
Reduce disruptions and maintain patient care with predictive intelligence
If the OnWatch Predict algorithm identifies a potential failure, GE HealthCare is well-positioned to provide advanced part delivery and service scheduling. Any corrective action can accommodate your team’s schedule. So you can help reduce overall limited use or unplanned medical equipment downtime, and better plan for a smoother repair experience.
Gain anytime, anywhere control of corrective and predictive maintenance with real-time alerts
Whether you’re on a desktop or mobile device, you can get OnWatch Predict alerts (such as part notification, planned maintenance, system fix, etc.) and manage service and support in near real-time with MyGEHealthCare.
Advantages
Reduce disruptions. Enhance care.
Greater confidence
Avoid unplanned downtime, and better plan and expedite maintenance when you need it.
Financial performance
Optimize capital investment, maintain exam revenue, and optimize labor costs
Operational efficiency
Decrease staff stress, reduce mistakes due to overtime fatigue, and minimize workflow disruptions
Patient satisfaction
Reduce exam rescheduling, reduce patient stress, and increase on-time diagnosis
Disclaimers
*Availability of 24/7 remote monitoring and predictive analytics is subject to customer connectivity and applicable service plan. GE HealthCare disclaims liability for service interruptions due to connectivity issues or plan limitations.
**OnWatch Predict is excluded for all Pulse systems.
***Not available on all systems. OnWatch Predict is not available on systems with liquid metal bearing tubes.
References
- The study was conducted on systems under contract or warranty on approximately 1,200 systems, covering the last 12 rolling months in 2024 and 2025 for an installed base composed of Discovery™ MI, Discovery MI DR and Omni Legend.
- Uptime estimates are based on a 24x7 operational model for systems running six days a week with OnWatch Predict activated.
- The estimated uptime performance is derived from the recall metrics of all of the AI models, as provided by data scientists during the Design Service Review quality process. These metrics have been applied to the average downtime observed across the installed base to assess the anticipated uptime performance attributable to the implementation of said models.
- The estimated downtime reduction is derived from the recall metrics of all of the AI models, as provided by data scientist during the Design service review quality process. These metrics have been applied to the average downtime observed across the installed base to assess the anticipated reduction of unplanned downtime expected.
- The estimated downtime saved is calculated based on the same population of approximately 1,200 systems with OnWatch Predict activated and not activated.
- Estimated FDG radiotracer loss on the first day of failure, based on an average of 8 patients per day. Average price per dose: $1,885. Source: "The Cost of Positron Emission Tomography in Six United States Veterans Affairs Hospitals and Two Academic Medical Center”, American Journal of Roentgenology (AJR) www.ajronline.org
- The study was conducted on a population of 907 IGS systems over a 12-month period between 2023 and 2024. Estimates are based on the performance of OnWatch Predict models (recall and precision) applied to historical data collected during that period. Comparisons were made by running OnWatch Predict models on the same installed base and for the same timeframe.
- The study was conducted on systems under contract or warranty on approximately 2,000 CT systems, over a 12-month period between 2022 and 2023 in EMEA and USCAN. Estimates are based on the performance of OnWatch Predict models (recall and precision) applied to historical data collected during that period. Comparisons were made by running OnWatch Predict models on the same installed base and for the same timeframe.
- Uptime estimates are based on a 24x7 operational model for systems running five days a week with OnWatch Predict activated.
- The estimated downtime saved is calculated based on the same population of approximately 2,000 CT systems with OnWatch Predict activated and not activated.
- The study was conducted on a population of 262 MR systems over a six-month period in EAGM and Europe region in 2023. Estimates are based on the performance of OnWatch Predict models (recall and precision) applied to historical data collected during that period. Comparisons were made by running OnWatch Predict models on the same installed base and for the same timeframe.
- Uptime estimates are based on a 24x7 operational model for systems running ten hours per day, six days a week with OnWatch Predict activated.
- Percentages noted are based on various assumptions, including but not limited to: consistent use of OnWatch Predict in accordance with its terms and conditions, timely receipt of alert notifications, availability of parts and labor, and immediate access to the customer’s equipment. These results may not be typical of every customer’s experience.
- The estimated downtime saved is calculated based on the same population of 262 MR systems with OnWatch Predict activated and not activated.
- As each hospital is unique, results may vary. GE HealthCare does not guarantee the outcomes presented herein.
JB27157XX November 2024