途游斗地主

Blogs

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.

Nudging a Diagnostic Unit from Good to Great with Historical Examination Study Analysis

Pramod Sridharamurthy
Mar 05, 2020

途游斗地主Could untangling patterns in utilization and examination lifecycles of the past lead us to a better understanding of the current state? Could it also help us prevent an imminent deterioration of patient care? Can a diagnostic unit transform itself from a nimble operation to a center of excellence in a healthcare network?

This post explores those questions.

3 Questions You Should Ask About Your Radiology Equipment Utilization

Pramod Sridharamurthy
Feb 28, 2020

途游斗地主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.

途游斗地主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

途游斗地主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

途游斗地主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?

Glassbeam Technology – Innovation at its Peak for Medical Device Manufacturers

Puneet Pandit
Jan 02, 2020

Recently I have covered several business topics for our largest market segment - healthcare providers and independent imaging centers途游斗地主 - on how Glassbeam can help them improve patient care by improving machine uptime and utilization (by analyzing machine logs and related data such as DICOM, HL7, and so on).

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.

Enhancing Utilization Analytics portfolio with Reject Analysis Dashboards

Vivek Sundaram
Nov 18, 2019

We at Glassbeam always strive to expand our portfolio of supported products by listening to our customers and understanding their areas of acute pain. As we rolled out our utilization analytics solution in , we spoke to various radiology groups to understand what gaps still need to be addressed. One recurring issue that came up is the ability to understand the reject ratio for technologists, particularly in the Digital Radiography department.

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:

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