MACHINE LEARNING

Glassbeam Relief for Healthcare Industry Amid COVID-19 Crisis

Puneet Pandit
Mar 25, 2020

The world has turned upside down in the last 30 days. I share the experience of the real-life impact of the crisis at Silicon Valley, specifically in Santa Clara County, which has become the epicenter of the COVID-19 crisis in California.

Reimagining Radiology Departments: Shaping Digital Connections in the Diagnostic Examination Practice with Big Data Analytics

Pramod Sridharamurthy
Feb 21, 2020

Not only does analytics from every diagnostic examination offer cost containment insights, but it can also uncover referral inconsistencies, plug scheduling delays, and describe a successful approach to evaluate a technician’s productivity.

The aim of this blog is to highlight the dynamics that are opening up innovative opportunities for radiology leaders and, to provide insights into the underlying digital connections that are creating new sources of value and how to use them.

Here’s the framework that works.

Examination Analytics that Optimizes Imaging Facility Operations

Pramod Sridharamurthy
Feb 13, 2020

Deep machine data analytics is getting more sophisticated each year and is now becoming more pervasive in radiology facilities used as an optimization tool instead of relying on plain vanilla billing spreadsheets to get precise information on the usage of the machines, for instance, are our machines underutilized or over-utilized? If they are, then what action can I take to get the most of the MRIs or CT Scanners?

Sharing Our Expertise and Connecting With Our Customers at RSNA 2019

Puneet Pandit
Dec 19, 2019

For Glassbeam, the RSNA Annual Meeting is the top conference on our field calendar that gets us the most excited. Once again, this year’s show, held during Dec 1-5 at McCormick Place in Chicago, lived up to that expectation. The showcase of innovations from technology companies, in-depth demos at the booths, an entire floor for Artificial Intelligence vendors, and a range of radiology topics focused on expert learning sessions, and so much more made RSNA Chicago a great way to end our roadshows for the year 2019.

Onsite to Online — Save Operational Costs and Improve Patient Care

Vivek Sundaram
Nov 04, 2019

Our mission at Glassbeam is to equip our customers with the ability to predict equipment failures. Prevention is better than cure after all. And there’s that added incentive of saving dollars by proactive maintenance rather than adhoc, reactive ways.

The ground reality, however, is that not all incidents can be prevented. So what does a field service engineer do if they need to immediately react to a high priority incident?

Real Life Business Impact of AI/ML on GE CT Scanners Using Glassbeam Clinsights™

Vivek Sundaram
Sep 25, 2019

We are now in an era where machine learning isn't just hype. In fact, it is absolutely real in its business impact as Glassbeam has recently demonstrated for its growing network of connected medical imaging equipment.

With Glassbeam's extensive experience in data engineering and analytics related to GE CT Scanner machine logs, we now have dozens of powerful use cases where automated anomaly detection via machine learning has been used to detect potentially expensive part failures well before the end-user even noticed an issue.  Here are 3 real-world examples:

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. 

5 Big Reasons to Switch to Artificial Intelligence-enabled Predictive Maintenance

Puneet Pandit
May 31, 2019

Next week, Glassbeam is gearing up to participate at AMMI Exchange 2019 conference in Columbus, Ohio. The event promises fantastic insights into the concerns and questions of Radiology and Clinical Engineering professionals and some great line up of talks from all walks of Healthcare Technology Management (HTM).

Who Owns the Data – Part 2

Puneet Pandit
May 16, 2019

In Part 1 of this blog series, I set the stage to understand who owns the machine data generated by medical devices such as CT, MRI, and so on. We also discussed how the restrictions on device data evolved over time and the implications on healthcare providers’ maintenance programs.

Expanding Customer Base and Thought Leadership Conversations That Make Us Proud of Q1 FY2019

Puneet Pandit
Apr 16, 2019

Welcome to the first newsletter of 2019! As always, we present some of the key milestones we have achieved last quarter. This quarterly recap highlights the ways we are bringing all our business functions to make a positive impact on our customers and our partner ecosystem.

Growth Momentum in Our Customer Base Continues

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