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.
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.
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.
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.
The Association for the Advancement of Medical Instrumentation (AAMI) Conference and Expo is a big stage for conversations about innovation, advancements and security for medical equipment. Our team recently attended the 2018 expo in Long Beach, CA, and we were thrilled to mingle with like-minded industry professionals who share our interests in the advancement of medical instrumentation.
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.