Clinical coding automation using Natural Language Processing

30 Second Summary

The project aims to use Natural Language Processing (NLP) to automate the prediction of ICD-10 or OPCS-4 codes from doctor/patient notes, currently done manually. Initially focusing on 3-character ICD-10 chapters, it will eventually predict full 4-character codes. Collaborating with a provider, the project will streamline coding and improve accuracy.

Natural Language Processing (NLP)

Clinical Coding

Author

Affiliation

Sid Kumar

NHS South West London ICB

The aim of this project is to use Natural Language Processing (NLP) to predict ICD-10 or OPCS-4 codes from doctor/patient notes, automating a task currently done manually by the clinical coding team.

Initially, we’ll predict 3-character ICD-10 chapters, with the goal of eventually predicting full 4-character codes. Collaborating with a provider that has access to these notes, this project will streamline coding and improve accuracy.