Medical Device Company
Enhancing algorithms and image sensors in feeding tubes to improve patient safety and care.
The
Challenge
Feeding tubes inserted incorrectly into the lungs rather than the stomach can result in a punctured lung or even death. This requires getting an x-ray before inserting the feeding tube, which costs the patient more money and time. The x-ray reduces risk but does not completely eliminate the possibility of incorrect placement. Our client had an innovative feeding tube with a camera to solve the challenge, but needed help optimizing their camera technology to improving image quality and overall performance.
Work Summary
In the toolbox:
Industry Benchmarking
Research + Prototyping 
Computer Vision
Twisthink assisted our client by testing and enhancing the image quality of the camera used on the end of a small feeding tube. Using image sensors and algorithms, this takes a common, blinded procedure in a new and innovative direction, supporting nurse placement at the bedside.
Our research and development led to:
- A rapid prototype algorithm improving image quality and color
- Image sensor updates and configurations enhancing overall sharpness
- Ability to identify anatomy in real-time during feeding tube placement
The
impact
This new technology is saving patient lives by significantly reducing the risk of accidentally inserting the feeding tube into the patient’s airway, which could result in a punctured lung or even death. It is also enhancing healthcare by allowing medical professionals to see where they were previously blind. And lastly, it’s reducing patient time and cost by eliminating the need for an x-ray – speeding up the overall process.
Positively
quotable.
“This product is truly unique and was built with patient safety in mind.”
Get
started.
Digital transformation,
with a twist.
