UCSF Health to apply predictive analytics to medical equipment maintenance

San Francisco-based UCSF Health tapped Glassbeam to manage predictive maintenance of its medical equipment, the data analytics company confirmed April 11.

Glassbeam will apply its CLEAN, or "Clinical Engineering Analytics," blueprint to manage segments of UCSF Health's imaging, ultrasound, catheterization lab and physiological monitoring equipment. The CLEAN blueprint uses machine learning to manage equipment service operations.

UCSF Health's goal for the clinical engineering analytics program is to improve the quality and reliability of its medical equipment.

Ramana Sastry, director of clinical engineering at UCSF Health, noted, "Investing in data systems and predictive analytics capabilities to help us facilitate service management, asset utilization and performance improvement of medical machines is critical to our success."

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