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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
