DATA TRANSFORMATION

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.

The Prevailing Challenges Facing Healthcare with Radiation Dose Limits and How to Triumph Over Them

Pramod Sridharamurthy
Mar 13, 2020

The healthcare industry has an abiding interest in dose limits. These limits form the norm for health safety in the use of radiation for diagnostic procedures. With a pre-established exposure boundary, a patient receives radiation dose within a range of parameters during diagnostic examinations, general screening procedures, or therapy.

3 Questions You Should Ask About Your Radiology Equipment Utilization

Pramod Sridharamurthy
Feb 28, 2020

Most healthcare imaging facilities are not able to report metrics on their diagnostics equipment usage. From my discussions with healthcare leaders, there seems to be a common thread unifying their concern – identifying and isolating bottlenecks that are deterring optimal utilization of the big iron machines.

Despite an array of monitoring systems from CMMS to EVMs, there are wide-ranging areas of pain points that are yet to be addressed, including optimal shift operations, profiling scheduling patterns, and segmenting examination throughput.

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?

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).

Register Microservices to Consul Out-of-the-box Using Scala Macro Annotations

Shivam Kapoor
Mar 21, 2019

Off late at my work which currently involves moving our platform code from monolithic to microservices architecture, I have come to realize that there is a lot of boilerplate code that not only needs to be implemented in every other service but also involves maintenance pertaining to tribal knowledge within the team. This means that there isn't any standard way of implementing a service, raising the possibility of a lot of code duplication, thereby resulting in a maintenance nightmare.

Introducing glassbeam studio

PRAMOD SRIDHARAMURTHY
Feb 16, 2016

I am delighted to announce the release of Glassbeam Studio – the industry’s first Data Transformation and Preparation tool for complex machine data.

According to Gartner, by 2018, data discovery and data management evolution will drive most organizations to augment centralized architectures with decentralized approaches. Most business users and analysts will have access to self-service tools to prepare data for analysis.