695TiP ORACULUM: A retrospective observational epidemiological study using artificial intelligence and natural language processing in electronic health records to characterize the prostate cancer pathway, management and outcomes in Europe, Middle East and Africa (EMEA region)

Abstract

In Prostate Cancer, there is a need for real-world clinical practice data given the high prevalence and incidence of the disease and the rapid changes in treatment options and diagnosis over recent years. Prostate cancer is a scenario in which ‘Big Data’ is particularly applicable because patients have a long disease course, generating an immense amount of data. The outcomes would improve our understanding of the potential implication of different diagnostic /treatment approaches in the different profile of patients suffering from this serious disease in clinical practice.