Published on Oct. 20, 2020

Cancer surveillance has to be able to monitor trends of cancer cases, subtypes of cancer, and cancer clusters to inform cancer control and policies related to cancer and cancer care. The increasing complexity and depth of cancer care, treatment, and other elements to describe a cancer case require cancer registries to capture data from a wide variety of sources by utilizing many informatics methods to integrate these data. Current and future developments include automated processing of electronic pathology reports, artificial intelligence, natural language processing NLP, and linkage of data sources to expand surveillance goals. Recent developments include a national virtual registry, expanded use of biorepositories, and additional and new partnerships between organizations that are involved in diagnosing and caring of cancer patients increasing the capacity of cancer surveillance resources for cancer surveillance and research.

Please contact Robert Sanders (sandersrl@missouri.edu) for Zoom details.