Glassbeam Adds Calamed as New Healthcare Service Partner for a Caribbean and Latin America

“Medical imaging machines such as MRI and CT scanners play a vicious purpose in complicated medical where downtime of these machines creates a double disastrous of mislaid revenues and studious dissatisfaction,” pronounced Carlos Borges, Managing Director, Calamed LLC. “Predicting supernatural function and proactively alerting margin engineers by modernized analytics solutions such as Glassbeam is a diversion changer for a industry.”

Glassbeam will vaunt a resolution offerings during a Association for a Advancement of Medical Instrumentation (AAMI) 2018 Conference and Expo, to be hold June 1-4 during aLong Beach Convention Center, Long Beach, California, counter 170.

Glassbeam also announced enlargement of a Artificial Intelligence (AI) resolution with Anomaly Detection models for imaging modalities. Generally, modernized medical equipment, such as MRI machines and CT scanners, embody a mixed of worldly hardware and program systems that constantly beget profitable appurtenance information signals in formidable record formats.  For example, a CT scanner logs information each notation on a tube temperature, H2O temperature, fan speed, atmosphere temperature, waterflow and many other variables. Glassbeam uses AI to envision anomalies on these information sets, so lenient organizations to save millions of dollars in upkeep cost and make vital information driven decisions.

In a new report, “FDA Report on a Quality, Safety, and Effectiveness of Servicing of Medical Devices,” a FDA references a value appurtenance information and analytics provides to optimizing studious reserve and operational potency by delivering high-quality, protected and effective servicing of medical devices.  “FDA finds, as a outcome of reviewing use records, that a information ensuing form a upkeep and correct of medical inclination yield profitable discernment into a endowment of a opening of devices.”  Glassbeam can boost appurtenance uptime from an attention customary of 96-97 percent to some-more than 99.5 percent.  This disproportion can save medical organizations millions of dollars per year.

“Glassbeam analyzes approximately 18 billion events opposite mixed medical machines with about 100 million events per day and 50,000 events per complement per day,” pronounced Puneet Pandit, Co-founder and CEO during Glassbeam. “This information bullion cave helps us build modernized analytics with new appurtenance training models that yield a business with modernized warnings. These alerts save millions of dollars in income steam and urge appurtenance uptime opposite their whole operation of equipment.”

About Glassbeam
Glassbeam is a premier appurtenance information analytics association bringing structure and definition to formidable information generated from any connected appurtenance in a Industrial IoT attention with a clever concentration on medical and information core equipment. Funded by several ultra-high net value investors, Glassbeam’s subsequent era cloud-based height is designed to transform, analyze, and build Artificial Intelligence applications from multi-structured logs, delivering absolute solutions on patron support and product comprehension for companies such as IBM, Dell EMC, PTC, Novant Health, UCSF Health, and Dimension Data. For some-more information revisit or follow us on Twitter @Glassbeam.

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SOURCE Glassbeam, Inc.

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