Blogs

On the occasion of Healthcare Technology Management Association (HTMA)’s Annual General meeting, Glassbeam is excited to share our thoughts on the challenges Imaging technologists have in extracting actionable insights from Machine Log data.

2018 was a defining year for Glassbeam. We blazed the trail through the year signing up 15 customers and pilot sites located at Scripps Health, Grossmont Imaging, Eisenhower Health, and several more. As we head into the second month of 2019, we just announced a key partnership that is all set to take the VA Healthcare market by storm.

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.

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.

As the head of the Glassbeam sales team, there are few questions that I often hear from our customers that I would like to address. Below, you will find answers to the most common questions that we get about Glassbeam’s machine data analytics solution. In the first of this two-part series, I’ll address common questions about Glassbeam offerings, implementation and security. In part two, we’ll discuss Glassbeam and OEM service agreements. And of course, if you get to the end and find that you want to know more, we’re here to help.

We are now three quarters of the way through 2018 and very proud of our team’s many accomplishments this year. From new offerings and partnerships to certifications and industry event participation, we have made great strides towards our goal of expanding our advanced analytics offerings to include support for more healthcare equipment types and manufacturers.

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.

Factors like humidity, room or tube temperature, and equipment water flow impact medical device performance more than you may realize.  

It is well known that margins in the medical device industry are eroding, partly due to the fact that nearly all health care providers are involved in some type of group purchasing organization (GPO) and that GPOs account for nearly three-quarters of provider purchases.