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.
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Glassbeam adds NIST security framework
In order to ensure the highest levels of data security for our clients, Glassbeam has implemented NIST 800-53 controls and continuous monitoring security framework on our cloud based platform SCALAR™ and Healthcare Application Suite Clinsights™.
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.
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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.
Increased machine uptime from 98% to 99%
Gained 70-80 hours of productive, revenue generating time per machine annually
Avoided revenue leakage of $80,000 per machine