Proposal of a new model of national skin audit and data submission.

Abstract

This article discusses the role of multidisciplinary teams in improving data flow to cancer registries and the inefficiencies of current retrospective data entry methods. It proposes a novel model using a rule-based natural language processing technique for basal cell carcinoma, integrating real-time analysis and structured data presentation to enhance national skin audit and data submission. The model faces challenges like varied reporting styles and the need for common ontologies but aims to fill a gap in dermatology and plastic surgery audits, improving healthcare quality through precise and timely data analysis.