Solutions for Hospitals and Imaging Centers

Democratizing Clinical Insights with Machine Data Analytics

Break Through

Disrupt the status-quo with Glassbeam’s AI/ML and Expert Rules Platform to analyze machine data from your imaging and biomedical assets to increase machine uptime and utilization, leading to increased patient throughput and revenues, and reduced operational costs.


of providers have no “automated” visibility into their fleet wide utilization


of clinical engineering leaders experience 60-70 hours downtime per machine per year


of providers face over 10% revenue leakage from their patient referral network

Who We Work With

Clinical Engineering Departments

  • Manage the health and status of all key modalities (MR, CT, Cathlab) for key manufacturers (GE, Siemens, Philips) on a single pane of glass
  • Perform remote login and access connected assets to better understand issues at a facility/machine level and become proactive versus reactive in solving issues
  • Enable machine learning to proactively alert you on helium levels, cold head temperature, magnet pressure, scan counts, aborts, and arcs for MRI and CT modalities
  • Gain insights from environmental sensor data collected near real-time from the hospital environment including compressor Power, Room temp/humidity, and Chiller water temp In/Out.
Machine Data Analytics for Hospitals

Radiology and Imaging Leaders

  • Gain actionable insights to improve patient throughput and revenues from your entire imaging fleet by analyzing exam statistics per facility, per machine, and per operator
  • Perform ‘what-if’ analysis on key metrics such as “change-over-time” and improve fleet utilization that directly translates to more revenues
  • Track business flowing in from referring physicians and receive alerts when a group falls below a threshold or have large no-shows
  • Analyze reject exam frequency by facility and operators, understand how to fix the root cause by knowing reject reasons, leading to better operator training, etc..

C-Suite and Budgeting Decision Makers

  • Before approving new purchases, login anytime anywhere to our cloud-based app for consolidated fleet-wide utilization data by facilities, manufacturers, and machine types
  • Benchmark system health and performance information by facilities, machines, operators, and exam types
  • Custom analysis prepared as weekly, monthly or quarterly reports, delivered in slides and/or pdf to your inbox for Board presentations

Integrate CMMS Data with Machine Data Insights

  • Import key metrics from your CMMS system on a daily basis into Glassbeam to combine with machine data alerts and create a unified view of machine health information
  • Auto-create new cases in your CMMS system and assign directly to key field engineers based on critical errors and warnings flagged by Clinsights Service Analytics platform, enabling your staff to become proactive versus reactive
  • Mine historical case data and case notes leveraging NLP algorithms in Glassbeams’ Explorer platform to create new expert rules

Use Cases

Powered by Machine Learning, Glassbeam provides rich analytics to increase uptime and improve fleet utilization of healthcare equipment.

System Health

Enables service engineers to define actionable alerts based on rules by uncovering error prone patterns and signatures from machine logs that reduce time to issue resolution.

Predict Tube Failures

A predictive model based on a combination of overheating, image artifacts, scanning errors, mA out of range, andhardware warning results in effective tube failure prediction.

Forecast Cooling Issues

Track and forecast on external cooling parameters magnet pressure, helium level, cold head temperature & duty cycle, water flow and temperature, compressor power, gantry temperature.

Anomaly Detection

Track all system metrics and build statistical anomaly detection on tube arcs/spits, filter move errors, gantry, rail, plenum temperatures, fan speed, packets drops, and collimator errors.

What Our Customers Say

“Information Services and Analytics fits well within UCSF Health’s 2020 strategic goals. Investing in data systems and predictive analytics capabilities to help us facilitate service management, asset utilization and performance improvement of medical machines are critical to our success. We are confident Glassbeam’s unique analytics solution will help us tremendously as we scale our operations over the next few years.”

Ramana Sastry Director of Clinical Engineering
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Get Clear Healthcare Operations Insight

Gain deeper, clearer insight from your machine data to elevate business intelligence, minimize unplanned downtime, increase asset utilization, and drive operational efficiency.

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