2 min read

Webinar: Machine Vision for Central Line Dressing Compliance

Featured Image

In collaboration with Microsoft, Synaptiq has developed a first-of-its-kind demo solution leveraging AI and machine vision to proactively inform care teams of potential central line dressing compliance issues. According to the NIH, CLABSIs are largely preventable infections that occur in more than 400,000 patients annually in the United States alone, resulting in over 28,000 deaths and costing U.S. hospitals $2 billion. A key piece of preventing CLABSIs is maintaining Central Line dressings as clean and intact as possible.

This demo solution is designed to improve hospital workflow, patient outcomes, and speed of care, help reduce preventable deaths from hospital-borne infections (such as CLABSI), and help mitigate financial and reputational risk to hospitals. We were fortunate to be joined by Mariana Gattegno, an expert in Patient Quality and Safety, to demo the solution as part of Microsoft's Voices of Healthcare webinar series, which can be viewed here:

 

 

If you're interested in helping Synaptiq further refine the solution, we're happy to announce that we've opened up our 2022 CLABSI Pilot Program to hospitals nationwide.

Additional Reading:

Hospitals Face an Infection Control Problem. People + AI Can Solve It.

The Problem is Non-Compliance

Healthcare-associated infections (HAIs) affect 1.4 million people worldwide at any given...

Three Ways to Failure-Proof Your AI Roadmap

Manage Risk & Achieve Rewards

Artificial intelligence (AI) adoption is accelerating, but trends are misleading.

IBM...

Computer Vision vs. Machine Vision: What's the Difference?

The Simplest Explanation

You’re likely to encounter “computer vision” (CV) and “machine vision” (MV) in relation to...