San Jose, Calif.-based machine data analytics company Glassbeam, Inc. announces the general availability of the Clinsights Service Analytics app, a revamped product that allows healthcare organizations to fully monitor, manage, and take remedial service actions in near real-time on radiology equipment. This new product release helps clinical engineers take a digital-first approach to proactively service radiology equipment, according to Glassbeam.

Powered by artificial intelligence, Glassbeam Clinsights 2.0 provides insights into the working of a medical device, such as an MRI machine, by flagging issues being reported by the device, identifying anomalies in its metrics, and notifying impending part failures to increase machine uptime.

The goal is to proactively convert unplanned downtimes into planned maintenance windows, and in cases where there is an occurrence of an unavoidable downtime, help triage the problem in the shortest possible time. With the aid of incisive metrics and real-time notifications on machine uptime, the need for continuously checking in and manually gauging the health of the equipment is eliminated. This kind of transparency through a single pane of glass on the entire imaging fleet eliminates a lot of uncertainty in machine availability and improves overall patient care, according to Glassbeam officials.

New Clinsights Service Analytics app features several improvements over the earlier version, including:

  • Comprehensive asset summary: Single-pane view across all assets by location, segregated by alerts and warnings for proactive action, including drill-down information
  • Improved notification engine: Real-time subscription-based notification features, on both the web and mobile app, for an improved user experience
  • Enhanced AI and expert rules library: Hundreds of new predefined rules and machine learning models, including the ability to customize & create new rules using Rules Editor
  • Configurable risk index score: The ability to establish risk score per machine that combines parameters of network connectivity, system health, throughput and service request status

“Our previous release allowed Utilization Analytics app to provide a fleet-wide view of usage metrics, no matter which modality or manufacturer,” says Pramod Sridharamurthy, vice president of products at Glassbeam. “With this new release, Service Analytics app brings together the entire experience of analyzing system health metrics in a fully integrated view along with the Utilization app in a single window. I am excited at the possibilities where healthcare executives will now be able to drive seamless, insight-driven initiatives to create a digital-first workflow and collaboration between radiology and clinical engineering departments.”

Featured image: Glassbeam Clinsights Service Analytics Dashboard