Glassbeam ClinsightsTM

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.

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

Improve machine uptime across modalities and manufacturers with log analytics.

Key Features

  • 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.
  • Realize business impact with higher machine uptime measurable through reduced mean time to resolution (MTTR), higher mean time between failures (MTBF), and higher first-time fix ratio (FTFR).

Analyze machine operational patterns.

Machines such as CT Scanners and MRIs malfunction all the time due to environmental and operational issues.

Key Features

  • Deduce new expert rules and automate alerting with Glassbeam
  • Demystify error patterns and define automated rules or build machine learning models to predict part failures.
  • Provides dashboards to automate archaic problems, allowing healthcare providers to recover millions of dollars of lost revenue.

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

It provides customizable settings that allow you to define the operating hours for individual systems (not just the entire facility).

Key Features

  • Accurately calculate overall utilization and uptime, based on expected staffing and departmental operations such as emergency versus oncology.
  • Allow you to focus more on other revenue generation strategic initiatives without having to worry about underutilized imaging equipment.

Get accurate details on the health of every CT Tube in your facility.

All in a single dashboard.

Key Features

  • 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.
  • 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.

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

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

Key Features

  • 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.

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

A powerful service dashboard that changes the way you discover the complete health of imaging equipment in one go, without having to make an onsite visit.

Key Features

  • Automatically flag various patterns from the log file
  • Make the best decisions on the potential root causes of the reported issue, faster

Avoid redundant exams easily with superior quality controls.

Track every visit by the patient and the exams performed.

Key Features

  • Determine the number of redundant exams, reasons for multiple visits, as well as which physician ordered the exams.
  • Ensure patient satisfaction, reduced dosage, and redundant studies.

Compare the performance of the technicians and identify retraining needs

And generate consistent patient experience, always.

Key Features

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

Determine the changes in the rate of the physicians' referrals.

And, act on the trends that affect your ability to provide superior care.

Key Features

  • Understand how the trends in referral physicians’ activities can change the way you forecast revenue and project income accurately.
  • Conduct referral analysis to keep tabs on trends and identify leaders and laggards
  • Identify for internal referring physicians who are ordering far too many exams and placing a greater burden on the infrastructure

Analyze the Dose violations historically across the organization.

Analyze the effective dose per patient and categorize the patients into low, medium, and high.

Key Features

  • Proactively identify patients with high radiation risk and take preventive action.
  • Improve patient care by understanding the root cause of consistent radiation exposure.
  • Understand which facilities, devices, operators, or type of exams that is the primary cause for the dose violations.
  • Benchmark against other facilities within the organization or other organizations across the world.

Featured Highlights

Service Management —Recover $Millions in lost revenues by increasing machine uptime to 99% and above through rule-based anomaly detection and alerting field engineers to take proactive and predictive action well in time.

Asset Utilization — Optimize capital budgets for expensive imaging modalities by tracking asset utilization across the entire fleet by the number of procedures, types of procedures, duration, uptime, and idle time.

Operator Utilization — Benchmark utilization by viewing aggregated time taken per procedure, machine, operator, and facility to find gaps in training and balance load with machine utilization.

Multi-Modality, Multi-Manufacturer Enterprise Services — An integrated view across the fleet by structuring and analyzing complex log data from all modalities and manufacturers to provide a unified view.

Featured Blogs

Nudging a Diagnostic Unit from Good to Great with Historical...
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The Prevailing Challenges Facing Healthcare with Radiation Dose Limits...
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Examination Analytics that Optimizes Imaging Facility Operations
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