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If It’s Not Broken You Can Still Fix It: ISOs See Value of Predictive Analytics

David Sawatzke
May 24, 2018

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.

Starting 2018 Off Right – A Look at Glassbeam’s Q1 Highlights

Puneet Pandit
Apr 27, 2018

It has been a productive and exciting start to the year here at Glassbeam, with a number of Q1 new wins and renewals from existing customers.

Integrating Machine Log Data with CMMS Solutions. An Exciting Opportunity for Glassbeam!

Pawan Jheeta
Apr 12, 2018

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.

Glassbeam to Demo Its Rx for Healthcare Equipment and Systems at MD Expo Next Week in Nashville

David Sawatzke
Mar 30, 2018

We are exhibiting at MD Expo April 4-6, a leading high tech medicine (HTM) trade show and conference. It will be held at the Renaissance Nashville Hotel, 611 Commerce Street. We hope you will stop and visit us at booth #119.

Glassbeam Analytics Changes the Game for Clinical Engineering and Imaging Equipment Service Teams

Rick Gaylord
Mar 16, 2018

In my role as the Healthcare Solutions Specialist for Glassbeam I've had the opportunity to meet with a wide range of Glassbeam customers and partners. I've spoken to members of the C-Suite, Directors of Clinical Engineering, and Field Service Engineers/Imaging Service Engineers (FSEs/ISEs) on the frontlines of imaging system service.

How much does medical equipment downtime cost hospitals?

Puneet Pandit
Aug 31, 2017

The increasing demand for better diagnostics is putting pressure on hospitals to invest in high-end medical imaging equipment such as ultrasound and X-Ray devices, computerized tomography (CT) scanners, magnetic resonance imaging (MRI) scanners, and positron emission tomography (PET) scanners. These machines can range from several hundred thousand to a few million dollars each.

Glassbeam for Glassbeam (Part 6) – In SaaS, ‘Sale’ is not the end of Sales cycle

Pramod Sridharamurthy
Aug 21, 2017

In my concluding post, let’s look at the use cases that help our Sales/Account teams to manage our customer relationships efficiently, discover upsell and cross sell opportunities and analyse application use across our install base to help improve the adoption of our product. 

Glassbeam Analytics - Sales Use Cases

Glassbeam for Glassbeam (Part 5) – Data Driven Product Management

Pramod Sridharamurthy
Aug 14, 2017
Glassbeam for Glassbeam - Product Management
 
Product Management is not an easy thing to do. Bulk of the company’s resources and direction is driven by the decisions made on the roadmap of the product. Bad decisions lead to wasted effort internally and in the best case lead to unhappy customers and in the worst case, lead to losing customers. 
 

Glassbeam for Glassbeam (Part 4) - Helping Smart Engineering Teams be Smarter

Pramod Sridharamurthy
Aug 07, 2017

In this post, let me explain how Glassbeam’s engineering team uses the Glassbeam Analytics solution to be an effective and responsive team to every bug and the not-so-nice user experiences that our customers could potentially face.

Here are some guidelines that our Engineering team uses to seek answers from log data-driven Glassbeam Analytics:

Glassbeam for Glassbeam (Part 3) – Making our Support Team Super Heroes!

Pramod Sridharamurthy
Jul 31, 2017

In the second post of this series, I have listed the high level use cases of Glassbeam for Glassbeam across our internal teams: Technical Support, Sales, Engineering, and Product Management. In the next 4 posts, I will dive deep into the use cases for each of the above teams and talk about the value Glassbeam for Glassbeam as a data-driven decision making solution, brings to each team.

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