Recipe scan
Digitize doctor's prescriptions quickly and reliably
Team
3 AI Developers
Project duration
9 months
Product success
More than 4 million recipes per month
Reading out doctor's prescriptions
Based on our AI technology, we have developed a high-performance software solution for reading sample 16 recipes for the ARZ Darmstadt’s scanning section. With this AI solution, we were able to reduce the error rate by a factor of 10 - with a reading speed of less than 0.02s per recipe. With 4 million prescriptions per month, we were able to help ARZ Darmstadt to make doctor's prescription processing much more cost-efficient. What's more, this internal project has meanwhile resulted in a product that we now want to make available to third parties together with the ARZ.
Our partner:
Our services: Consulting, AI development, deployment, continuous development and support
Technologies used : CNN, RNN, Beam Search, REST API, Docker
Reliable
Recognition rate improved by a factor of 10
Fast
0.02s per recipe (on an NVIDIA RTX 3090)
Secure
The data is processed in compliance with the DSGVO under the highest standards
And how does it work?
The prescriptions are scanned using a scanning path and are thus made available for reading the individual fields.
Create scan
The recipe scans are then sent to the AI model deployed locally via Docker container, which can be addressed directly via API. The model runs in parallel on several Tesla GPUs and can therefore be scaled accordingly and designed to be fail-safe.
Using the model
Within the AI, the recipe is broken down into the individual fields to be read and these are read out - even for handwritten fields reliably and quickly. The data is then returned to the client structured as json.
Processing by the AI service
The data can then be freely processed on the client side - and all within fractions of a second per recipe.
Use of the result
For more information
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