Predictive analytics provider Glassbeam has received a U.S. patent for its methodology to predict medical device failure based on operational log data.

The patented technology supports complex medical equipment from multiple manufacturers and modalities, reducing unplanned downtime and improving the efficiency of the engineering teams servicing these devices. It covers Glassbeam's process of ingesting non-homogeneous log files (historical and real-time) to predict failure events and prescribe preventative actions to reduce downtime.

"With this technology, OEMs and service providers can better ensure their products and service support meets the need of the healthcare industry for clinical equipment with high availability", said Mohammad Guller, vice president of machine learning at Glassbeam.

Glassbeam's cloud-based platform incorporates proprietary SPL and ML/AI pipeline to achieve tangible outcomes for organizations such as Canon Medical Systems USA, MultiCare Health System, Brown's Medical Imaging, Renovo Solutions, Agiliti Health and Harris Health.

Glassbeam is also expanding its Clinsights Service Analytic solution to support a wider range of medical imaging systems through an expanded asset base, allowing for a greater number of systems and a broader number of modalities/models to utilize existing rules and alerts.