Using Natural Language Processing (NLP) to analyse patient record documents and Machine Learning (ML) methods to develop appropriate algorithms, an AI software system will be developed to analyse patient records and process high-volume documentation such as A&E attendance letters. Intelligently automating these processes will increase Firza’s ability to provide efficient and highly accurate administrative services to GP practices and CCGs.
Project members
- Firza
- School of Computer Science & Electronic Engineering, University of Essex
Team members
Acknowledgements
The project is funded through an Innovate UK Knowledge Transfer Partnership under grant agreement No. 12086.Publications
- Karthikeyan, S., Garcia Seco De Herrera, A., Doctor, F. and Mirza, A., (2022). An OCR Post-correction Approach using Deep Learning for Processing Medical Reports. IEEE Transactions on Circuits and Systems for Video Technology. 32 (5), 2574-2581
