Tumor data extraction from unstructured medical reports: application of an artificial intelligence-enhanced tool in the Eastern Switzerland Cancer Registry

Background

Population-based cancer registries rely heavily on the manual coding of unstructured medical reports, a process that is both time-consuming and resource-intensive. The number of cases and reports is increasing and simultaneously qualified coding personnel are rare, making it challenging to maintain timely and high-quality cancer registration.