MEDICAL DEVICES

If It’s Not Broken You Can Still Fix It: ISOs See Value of Predictive Analytics

David Sawatzke
May 24, 2018

Capital expenditures for healthcare equipment totaled more than $350 billion in 2016, according to Harbor Research. Healthcare organizations and Independent Service Organizations (ISOs) are now turning to AI and machine learning to predict and prevent equipment failures and reduce operational costs.

Starting 2018 Off Right – A Look at Glassbeam’s Q1 Highlights

Puneet Pandit
Apr 27, 2018

It has been a productive and exciting start to the year here at Glassbeam, with a number of Q1 new wins and renewals from existing customers.

Integrating Machine Log Data with CMMS Solutions. An Exciting Opportunity for Glassbeam!

Pawan Jheeta
Apr 12, 2018

Glassbeam loves its customers. Customer development is an integral part of Glassbeam. Our healthcare/clinical customers are telling us how the newly launched Glassbeam CLinical Engineering ANalytics (CLEAN) Blueprint is creating immense value by analyzing machine log data and presenting deep insights about machines in their clinical environment.

Glassbeam to Demo Its Rx for Healthcare Equipment and Systems at MD Expo Next Week in Nashville

David Sawatzke
Mar 30, 2018

We are exhibiting at MD Expo April 4-6, a leading high tech medicine (HTM) trade show and conference. It will be held at the Renaissance Nashville Hotel, 611 Commerce Street. We hope you will stop and visit us at booth #119.

Glassbeam Analytics Changes the Game for Clinical Engineering and Imaging Equipment Service Teams

Rick Gaylord
Mar 16, 2018

In my role as the Healthcare Solutions Specialist for Glassbeam I've had the opportunity to meet with a wide range of Glassbeam customers and partners. I've spoken to members of the C-Suite, Directors of Clinical Engineering, and Field Service Engineers/Imaging Service Engineers (FSEs/ISEs) on the frontlines of imaging system service.

How much does medical equipment downtime cost hospitals?

Puneet Pandit
Aug 31, 2017

The increasing demand for better diagnostics is putting pressure on hospitals to invest in high-end medical imaging equipment such as ultrasound and X-Ray devices, computerized tomography (CT) scanners, magnetic resonance imaging (MRI) scanners, and positron emission tomography (PET) scanners. These machines can range from several hundred thousand to a few million dollars each.

Market validation in one wonderful iot landscape

DEVANG MEHTA
May 15, 2016

Matt Turck at FirstMark recently wrote a wonderful post that outlined the CURRENT IOT LANDSCAPE (Glassbeam mentioned under Analytics) and the reasons for the somewhat slow growth of the marketplace despite all the surrounding hype.

IIOT trends to be aware of

VIJAY VASUDEVAN
Apr 29, 2016

IIoT promises to transform the industrial landscape. Customers expect the industrial product usage experience to match the retail, such as the Apple iPhone or Amazon shopping. So, when customers engage with machines, they expect equally intuitive and seamless experiences.

How the glassbeam-thingworx integration works

VIVEK SUNDARAM
Dec 18, 2015

Machine log data is prevalent in the IoT world, especially for complex machines like medical devices, manufacturing systems, and smart grid architectures; and is a natural outgrowth of building products that require assembly from numerous underlying components. It is very important to collect and mine machine log data to uncover true business insights – similar to mining the proverbial diamond in the rough – and to accrue significant economic value from it.

The most appealing part of healthcare iot may be behind the scenes

DEVANG MEHTA
Oct 02, 2015

By now, most of us have read lots of articles about IoT enabling healthcare professionals to monitor patients’ conditions. Devices strapped onto or even embedded in patients feed a continuous stream of data that can alert healthcare professionals to an impending heart attack, stroke or other potential incident.

And it’s true, the ability to monitor a patient 24/7/365 provides an unprecedented quantity and quality of data that improves diagnoses and care.

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