Glassbeam Clinsights

Driving Clinical Insights for Optimizing Machine Uptime and Utilization for Clinical Engineering and Radiology Groups by Leveraging AI and Machine Learning Powered Glassbeam Machine Data Analytics Platform

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Manage your entire imaging fleet in a single pane of glass. Improve machine uptime.

View alerts and warnings across all modalities and manufacturers in a single pane of glass. Act on recommendations to shift unplanned downtimes into planned maintenance windows. Business impact will be realized with higher machine uptime measurable through higher mean time to resolution (MTTR), reduced mean time between failures (MTBF), and higher first-time fix ratio (FTFR).

Analyze machine operational patterns. Deduce new expert rules and automate alerting with Glassbeam.

Machines such as CT Scanners and MRIs malfunction all the time due to environmental and operational issues. The trick is to demystify such error patterns and define automated rules or build machine learning models to predict part failures. Glassbeam provides several software features and dashboards to automate these archaic problems, allowing healthcare providers to recover millions of dollars of lost revenue.

By combining DICOM data with HL7 data, determine the root cause of why some technicians take substantially longer than others to complete procedures and assess their retraining needs easily. And, get the ability to define tighter schedules and as a result, increased patient throughput.

This dashboard displays the top procedures and allows you to identify the operators and systems that performed a procedure and the frequency. Identifying the most frequent procedures helps to achieve efficient scheduling. Additionally, optimization packages, for instance, a stroke analysis package, can be rationalized by knowing how many head exams were performed.

The dashboard includes customizable settings that allow you to define the operating hours for individual systems (not just the entire facility) to accurately calculate overall utilization and uptime, based on expected staffing and departmental operations such as emergency versus oncology. So you can worry less about underutilized imaging equipment. And focus more on other revenue generation strategic initiatives.

Get to know the leading indicators of an impending CT tube failure. Clearly assess all symptoms of an unhealthy tube including arcs, scan errors, and 100s of other warnings before it deteriorates and fails. Also, receive vital information on the sensors monitoring tube, water, and air temperatures, glycol temperature, and other such critical indicators of a tube’s overall health.

Receive critical early warning information from the sensors’ recording of helium levels, magnet pressure, cold head temperature, and other factors. Use Artificial Intelligence (AI) to identify data anomalies automatically, keep a close eye on the extreme factors that may cause damage leading to an MRI shutdown.

A powerful service dashboard that changes the way you discover the complete health of an imaging equipment in one go, without having to make an onsite visit. By automatically flagging various patterns from the log file, a service engineer can make the best decisions on the potential root causes of the reported issue, faster.

Compare the performance of the technicians and identify retraining needs. And generate consistent patient experience, always.

Analyze imaging procedure operational data easily and intuitively.

Get the vital foundation you need to deep dive into the causes for underutilization of assets.

Get accurate details on the health of every CT Tube in your facility. All in a single dashboard.

Get the best diagnosis possible on the state of your MRI machine before it shuts down.

View your most important Service KPIs to get to the why quickly. Without hesitation, act on the breakdown.

In the world of 'Internet of Medical Things', Glassbeam is a pioneer to advance the vision of Smart Hospitals where there are disparate machines, equipment, software – all generating different formats of machine and log data. If such data is captured, transformed and analyzed properly with a regular frequency, it can become the backbone of strategic information for Clinical Engineering, Radiology and C-suite decision makers.  

Glassbeam Clinsights™ application suite does exactly that. Its core strength is to organize high volume and variety of such multi-structured data in the healthcare provider's environment into one scalable cloud-based platform. This data platform is powered by a rich library of over 100 algorithms today (and growing) that are expert rules and machine learning models inspired for MRI, CT Scanners, Patient monitors, Infusion pumps, Syringe pumps and so on. The output is consumed by Clinical Engineering leaders, Radiology departmental heads, and C-suite executives.

To learn about ClinsightsTM, contact our sales representatives to schedule a quick demo.


Track every visit by patient and the exams performed to determine the quantity of redundant exams, reasons for multiple visits, as well as which physician ordered the exams. This helps to ensure patient satisfaction, reduced dosage and redundant studies.

Avoid redundant exams easily with superior quality controls.

Determine the changes in the rate of the physicians' referrals. And, act on the trends that affect your ability to provide superior care.

Understand how the trends in referral physicians’ activities can change the way you forecast revenue and project income accurately. Referral analysis helps keep tabs on these trends and identifies leaders and laggards. For internal referring physicians, the application helps identify doctors who are ordering far too many exams and placing a greater burden on the infrastructure. 

To learn about ClinsightsTM, contact our sales representatives to schedule a quick demo.