LAUSR

Background: Clinical data are continuously recorded in clinical encounters in the form of electronic medical records, registries, audits ans similar databases. Such large datasets are available to researchers, and provide unique opportunities. However, challenges arise from the use of routinelly collected data, that need special attention and specific skills to minimise a waste in research. Objectives: To discuss available data sources (data discovery), their advantages and limitations, their uses, and to cover examples of research conducted using routinely collected datasets. Methods: We will discuss a list of data sources at high level (types of data), their main pros and cons, and then cover challenges and solutions through a number of previously published examples. Disclosure of Interests: Daniel Prieto-Alhambra Grant/research support from: Grants from Amgen, UCB Biopharma and Servier outside the submitted work, Consultant for: UCB Biopharma, Speakers bureau: Amgen