OnWatch Predict for Image Guiding Solutions

Plan and prevent with 24/7 remote monitoring and predictive analytics
At a glance

Monitor

Keep a close eye on critical components, indicators and performance trends

Predict

Apply healthcare predictive analytics powered by AI to cut unplanned downtime by 36%(1,2,3)

Repair

Plan repairs far in advance, around your schedule, to proactively fix emerging issues

Restore

Maintain image quality and help improve uptime by ~18 hours(1,2,4)

Taking care to the next level

Unplanned downtime is more than a simple inconvenience. Patient care, staff satisfaction, financial performance, and your organization’s reputation are all at risk.

By digitally tracking key system metrics between scheduled preventative Maintenance checks, OnWatch Predict enables preemptive service before an issue turns into a bigger problem

The financial impact of unplanned downtime

~5

Average loss of scans due to one day of downtime5

>$60k

Estimated value of total revenue losses for one day of downtime5,6

>6%

Increased staff overtime costs7

Broad impact

Predictable performance

OnWatch Predict can benefit everyone in a facility. By proactively identifying potential issues, facilities can ensure equipment is there to meet the needs of clinicians, patients, management and equipment technicians.

The OnWatch Predict advantage

Overcome the disruptions with healthcare predictive analytics

With OnWatch Predict to help you see a system failure coming, you can help support on-time invasive procedures and treatment, minimize workflow disruptions, and optimize investments and exam revenue—ultimately empowering greater confidence for your patients and team.

Keep a close, continuous watch on critical components in real time

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 Image Guiding Solutions system—to create a unique virtual model, based on AI learning. Information is collected and processed to predict the estimated remaining life of all monitored components. Models and alerts are covering X-ray generation (including X-ray tube), gantry positioner, image chain, and the system user interface.

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.

Estimated impact

~36%

Estimated reduction in unplanned downtime, anticipating component failure before it happens1,2,3,8

>18h

Estimated average unplanned downtime saved1,2,3,9

>99%

Estimated uptime on systems with OnWatch Predict activated1,2,4

24/7

Continuous monitoring of your equipment to help maximize uptime and maintain image quality

Outcomes

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 and promote proactive issue management

Patient satisfaction

Reduce exam rescheduling, reduce patient stress, and increase on-time diagnosis, invasive procedures and treatment
 
References
  1. Uptime is estimated on a 24/7 basis for a system operated six days a week with OnWatch Predict activated.
  2. All results are estimates based on the recall performance of the AI models.
  3. As each hospital is unique, results may vary. GE HealthCare does not guarantee the results identified herein.
  4. Average estimated downtime saved is calculated based on the same population of ~2K systems with OnWatch Predict activated and not activated.
  5. Based on the avg # of procedures collected on 1500 systems across USCAN through iCenter™ utilization on a weekly basis and assuming they have been performed within 5 days
  6. Based on the avg CPT reimbursement rate for std femoral procedure including stents for outpatient facilities in United States for 1 day of downtime with an overage of 5 procedures loss
  7. Estimated % based on a rescheduling within the next 15 days following the 1 day of downtime of 50% of the missed examinations
  8. Average estimated unplanned downtime reduction is calculated based on the same population of 907 systems with OnWatch Predict activated based on a historical set of data, vs the same population not activated.
  9. Average unplanned downtime saved calculated based on 24/7, between the break & fix population and the OnWatch Predict population all results are based on the estimated recall by subcomponent detected by OnWatch Predict for an IGS population of 907 systems.
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