PREDICTIVE ANALYTICS

In Case You Missed It: RSNA 2018 Highlights, Trends and Takeaways

Puneet Pandit
Dec 21, 2018

After a great week at RSNA 2018 in Chicago, we want to share some of the top trends and takeaways from the show. The Glassbeam booth was buzzing throughout the five-day show. We discussed the most relevant topics and challenges for radiology technicians and clinical engineering departments with our many booth visitors.

Glassbeam Preview at RSNA - New Partners, Solutions and Demos

Puneet Pandit
Nov 21, 2018

Our vison at Glassbeam is to create extraordinary outcomes for our customers and the communities they serve by harnessing the power of connected machines. Our mission is to simplify and bring clarity to the world of complex connected machine data. In the world of healthcare, that equates to an integrated view of equipment health, performance and utilization across all medical equipment types and manufacturers.

The Impact of Machine Data Analytics, Artificial Intelligence and Machine Learning on Healthcare Technology

Puneet Pandit
Sep 05, 2018

On the heels of a great event and presentation along with Rick Gaylord, our healthcare solution specialist, at the 2018 CEAI Conference, I want to continue the conversation about the far-reaching impacts of machine data and artificial intelligence for healthcare technology.

Redefining Art of Analyzing Medical Machine Logs: Glassbeam Q2 Milestones and Momentum

Puneet Pandit
Jul 17, 2018

Most would consider analytics a science. The Glassbeam team considers analytics an art of combining impermeable truth from machine logs with deep healthcare domain expertise.  As we expand our penetration of the healthcare market after spending years in the data center world, where the gold standard for machine uptime was 99.999 percent, we have recognized a huge opportunity since the acceptable machine uptime for medical equipment ranged from 90 to 97 percent.

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.

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.

Glassbeam for Glassbeam (Part 3) – Making our Support Team Super Heroes!

Pramod Sridharamurthy
Jul 31, 2017

In the second post of this series, I have listed the high level use cases of Glassbeam for Glassbeam across our internal teams: Technical Support, Sales, Engineering, and Product Management. In the next 4 posts, I will dive deep into the use cases for each of the above teams and talk about the value Glassbeam for Glassbeam as a data-driven decision making solution, brings to each team.

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