At Prenetics, we had a team of people reviewing the photos of Lateral Flow Test Cassettes uploaded through the app to verify the Positive, Negative or Inconclusive result.
The guaranteed review turnaround time was 12 hours - a duration that dissatisfied customers but ensured accuracy at scale.
We believed we could get the review time down to seconds using Image Recognition, so we engaged with a third party who built an API that could receive images and respond with a review code immediately. The Image Recognition service had been trained on 10,000 images of Lateral Flow Tests provided by NHS England. We gave them an additional 10,000 of our images to enhance the system and then embarked on a rollout process.
Despite the promising credentials of the Image Recognition service, I emphasised to the business that we need to integrate the system safely. Providing an inaccurate response to a customer would be costly, so I designed a phased rollout.
Don't be a Daily Mail headline.
Test the image recognition at scale without risking incorrect result release.
Compare MagnifEye reviews with Prenetics manual reviews
Run the below for one week.
Result match % between human and automated reviews. If 99% match is achieved, we could progress to Rollout Phase.
Test the auto-release process without service failure.
Gradually ramp-up use of MagnifEye for auto-releasing negative and inconclusive results
5%, 10%, 30%, 50%, 100%