Clinsights Service Analytics

Reduce unplanneddowntime with predictiveService Analytics

Clinsights™ Service Analytics provides insights into the working of medical imaging devices, issues reported by the devices, anomalies in its metrics and identifies impending part failures to increase machine uptime. Clinsights is a predictive analytics solution leveraging machine learning which utilizes data analytics to optimize machine uptime of high-end imaging equipment.


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TRUSTED BY ORGANIZATIONS LIKE
OEM AGNOSTIC

Compatible across major OEMs including GE, Siemens, Philips and Canon

COMPATIBLE MEDICAL / IMAGING / RADIOLOGY DEVICES

Computerized Tomography (CT)

Magnetic Resonance Imaging (MRI)

Positron Emission Tomography (PET-CT)

Ultrasound

* X-ray

and others

*X-ray includes (Interventional Cath Lab/Radiology, Mammography, Fluoroscopy, Radiography, Bone Densitometry

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Download theClinsights Service Analytics Datasheet

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FEATURES

What Can Service Analytics Do For Your Organization?

Data Doesn’t Lie

Service Analytics helps healthcare providers analyze complex machine performance logs:


  • Increase device uptime – Predict machine failure more than a week in advance, allowing engineers to act proactively, instead of waiting until failure to address an issue.
  • Reduce service costs and workflow disruption, minimizing part and labor expense, and most importantly interruptions to care.
  • Reclaim lost revenue from unplanned downtime – Plan maintenance for off-hours, instead of in the middle of a busy day.
  • Realtime 24/7 proactive remote monitoring identifies parameter deviations and provides resolution plans proactively
  • Deliver business impact with greater machine uptime, operational efficiency and improved service KPI’s [mean time to resolution (MTTR), mean time between failures (MTBF), and first-time fix rate (FTFR)]

Diagnose an MRI Before It Shuts Down

Receive critical early warning information from the sensors’ recording of helium levels, magnet pressure, cold head temperature, and other critical factors.


  • Use Machine Learning (ML) to automatically identify data anomalies
  • Monitor extreme factors that may cause damage and lead to shutdown.

Schedule a demo with a data analytics professional to learn about additional features and how Glassbeam fits into your organizational effectiveness and efficiency pans.

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“Today, healthcare providers’ clinical engineering, radiology, and service teams lack the data-driven insights to make effective capital expenditure and capital expenditure decisions... Glassbeam enables RENOVO these additional capabilities

Sandy Morford | CEO, RENOVO

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