Seize Your Data
Transform Your Healthcare Operations by Increasing Machine Uptime and Utilization
Glassbeam is the premier machine data analytics company for healthcare.
Transform, analyze, and leverage actionable insights utilizing artificial intelligence/machine learning applications on multi-structured logs.
Modern healthcare service providers and imaging departments are leveraging Glassbeam’s Utilization Analytics to drive a 12%+ increase in asset utilization and scheduling.
Download the solution guide to learn more.
White Paper: Applying Machine Learning to Data Analytics
Utilizing machine data to reduce unplanned downtime and improve service operations efficiency.
Put Your Data to Work
Drive Operational Efficiency
Consolidate and analyze equipment, staff performance and utilization data to anticipate interruptions and optimize workflow, schedules and staffing for effective and efficient service and clinical operations.
Manage Fleet-wide Utilization
Make your data actionable. Understand medical equipment utilization and opportunities for optimization. Glassbeam provides real-time insights to unlock greater efficiencies and access based on data patterns and outliers.
Minimize Unplanned Downtime
Anticipating required service instead of reacting to an emergency, dramatically improves system availability during operating hours – increasing system uptime, utilization and patient/staff satisfaction.
Elevate Business Intelligence
Deliver enterprise-wide impact through machine data insights. Analyze terabytes of log data for patterns to build correlations and share knowledge. Achieve breakthrough product and service excellence.
Discover, transform, analyze and visualize data from complex machine logs.Learn More
Unlock hidden value and extract insights from “multi-dimensional” machine data.Learn More
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100X Increase your time to value by 100x.
Glassbeam’s patented platform ingests any complex log file and scales from gigaytes to terabytes of data per day. Our powerful proprietary language builds analytics from log data in a single step.
Supporting over 250 Service Engineers with proactive alerts and IB analytics
Gained 70-80 hours of productive, revenue generating time per machine annually
Avoided revenue leakage of $80,000 per machine