By integrating breast cancer pathology information into the OMOP-CDM, this study facilitates the unified analysis of clinical and pathological data for retrospective oncology research. Moreover, the proposed NLP-based pathology report standardization framework for integrating into the OMOP-CDM can be readily adopted by other institutions as the use of OMOP-CDM continues to expand in cancer research.
Kim et al. (Sat,) studied this question.