College of American Pathologists

Accessing pathology cancer data within and across healthcare institutions is problematic. Manual curation of large quantities can take years. Factors including lack of normalization of grading and staging systems and non-standard narrative reporting formats hinder easy access to the data. However, these data could become readily available for research using newly published SNOMED CT content developed specifically for use in structured pathology reporting using data elements from the College of American Pathologists (CAP) Cancer Protocols and the International Collaboration on Cancer Reporting (ICCR) datasets . As a demonstration of the power of using SNOMED CT to create an interoperable data repository across multiple institutions, encoded cancer pathology reports and ancillary data for resections of invasive cancer of the breast following administration of neoadjuvant therapy were combined from two large academic medical centers[ME1] for 2021- present. Extracted data included histologic type, biomarker profile, grade, and pathologic assessment of the response to therapy for the tumors. These data were stored in a repository structured on the Observational Medical Outcomes Partnership (OMOP) model for further analysis. This presentation establishes a reproduceable methodology that can be used to extract, combine and represent pathology data from two separate EHR systems for subsequent analysis.