Building a Better App with Beta Testing

Rome wasn’t built in a day; great achievements take time, so they say. But in the increasing complexity of the present-day healthcare industry, we can’t afford to wait for history to unfold. New solutions are needed now.

That’s why I’m excited about the rapid deployment and robust features of GE Healthcare’s new X-ray Quality Application, featuring Repeat/Reject Analytics (RRA). As the system architect for this new application, I’d like to give you a brief overview of the agile development method and beta testing process for this powerful new solution.

Why an X-ray Quality Application?

Examining how often X-ray images are rejected, and the reasons behind the rejected images, can help reduce patient exposure to unnecessary radiation through repeated exams, as well as unnecessary rework by radiology staff.

Over the last year, we worked to create something that can gather X-ray data and analyze it to reveal image reject causes. And we’ve learned a lot in the beta testing of the app, which we applied to help future installations.

A Balance Between Rigor and Speed

The X-ray Quality Application is not classified as a medical device therefore its design cycle required less documentation than an X-ray clinical application. This…

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Wish I Had an App like This When I Was a Technologist

Before joining GE Healthcare two years ago, I spent nearly 15 years as a technologist leading a radiology department. I came through X-ray school as many sites were transitioning from film to CR or film to DR. Starting out with … Read more

There’s a Story Behind Every X-ray – I’ve Got Several

A Patient’s Perspective on Why X-ray Repeat/Reject Analysis Matters It used to seem like just a cool project. Last summer, I started a new role working with our X-ray team on advanced analytics to help reduce unnecessary repeated and rejected … Read more