Bridging the data latency gap: automated extraction of genomic biomarkers from unstructured clinical documents to support real-world oncology data
Three open-source optical character recognition approaches are evaluated and compared to determine which best enables automated extraction of Oncotype DX recurrence scores and improves the timeliness and quality of real-world oncology data.