Natural language processing to automate a web-based model of care and modernize skin cancer multidisciplinary team meetings.

ABSTRACT:

Background

Cancer multidisciplinary team (MDT) meetings are under intense pressure to reform given the rapidly rising incidence of cancer and national mandates for protocolized streaming of cases. The aim of this study was to validate a natural language processing (NLP)-based web platform to automate evidence-based MDT decisions for skin cancer with basal cell carcinoma as a use case.

Methods

A novel and validated NLP information extraction model was used to extract perioperative tumour and surgical factors from histopathology reports. A web application with a bespoke application programming interface used data from this model to provide an automated clinical decision support system, mapped to national guidelines and generating a patient letter to communicate ongoing managem

SUBMITTER: Ali SR 

PROVIDER: S-EPMC10782209 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature