MTTR

Who Owns the Data – Part 3

Puneet Pandit
Jul 05, 2019

In Part 1 of this blog series, I set the stage on the debate on who owns the machine data generated by medical devices such as CT, MRI, and so on. In Part 2 of this blog, I outlined an approach and my perspective on how this debate is being resolved between Providers and OEMs. 

Glassbeam Preview at RSNA - New Partners, Solutions and Demos

Puneet Pandit
Nov 21, 2018

Our vision 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.

Medical Device Usability is a Dire Need, Not a Nice-to-Have Option

Vijay Vasudevan
Jul 10, 2017

The connected medical equipment is here and the possibilities of a fresher, richer future are staggering. Imagine CAT scanners talking back to technicians, initiating reports on its profitability, or does a self-diagnosis and tells product management they ought to replace it. These possibilities are not too far into the future but we’re almost there.

Partnering with tsia to transform support organizations

CARLOS QUEZADA
Apr 14, 2016

I must admit – the impetus for this post is squarely ANOTHER POST written by Judith Platz at TSIA.

Machine downtime meets it match

DEVANG MEHTA
Oct 09, 2015

That’s the title of a NICE ARTICLE written recently by Design-2-Part Magazine. And it’s the title of our blog post, albeit with a slight twist – we affirm that Machine Downtime HAS met it’s match – in IoT Analytics platforms.

We need to resolve what “resolution” means

DEVANG MEHTA
Apr 02, 2015

In my last BLOG, I discussed three levels of analysis and each type’s benefits to teams, these were proactive, predictive and prescriptive analytics. Predictive and prescriptive, in particular, demonstrate how the enormous potential of big data combined with today’s advanced analytics can contribute to an organization’s success.

Leveraging machine data to reduce support costs

GLASSBEAM
Jul 22, 2012

Most progressive support organizations are now moving to leverage Big data to become proactive. They want to put behind the days when support teams were always behind the curve, with the customer knowing about problems much before support knows about it. Further its takes days or weeks for support teams to understand what is going on based on logs uploaded.