CUSTOMER INTELLIGENCE

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?

Having met several C-suite executives in recent customer meetings, it has become increasingly clear to me the immense value and ROI we bring to the table for healthcare providers using our AI/ML analytics platform. 

Taking a few cues from our recently published e-Book for Healthcare Provider market, here is an example of how this successful discussion goes:

Are you attending the AHRA 2019 Event? If you are, you must plan on visiting our booth #205.  

This event is designed to keep up with the latest developments in the world of imaging, with a keen focus on using AI-driven analytics in the clinical engineering and radiology world.

We wrapped up Q2 and it has been full of changes.

Over the past 3 months, Glassbeam has:

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. 

For the first time in the Healthcare industry, two distinctly different groups in a healthcare provider organization come under the eye of a single pane of glass. The roles are Clinical Engineering practitioners responsible for machine uptime and other is the Radiology and Imaging groups responsible for maximizing machine utilization and therefore revenues.  The common goal is always improving patient care and clinical outcomes for the benefits of its customers.

As Glassbeam expands its sales into the healthcare provider market, we have found an unmet need for Radiology groups to automate their asset utilization reporting.  A key business driver is their quest to enhance patient care by reducing patient revisits and reschedules, understanding physician referral leakage and maximizing machine utilization.

TDWI Business Intelligence Volume 23 Number 2 carries my article on the antidote to improving a Healthcare provider’s performance. I have based the article on Harbor Research’s Machine Data Analytics Drives Innovation in Healthcare Market research report.

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.

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.