Prof. Daniel Prieto Alhambra

About

I am an epidemiologist and academic clinician scientist using routinely collected (real world) health data to generate reliable evidence for improved patient care. I am interested in the use of large routinely collected health data (also known as real world data) to generate new knowledge or evidence on the utilisation, safety, and effectiveness of drugs and devices as used in usual practice conditions. I lead the Health Data Sciences section at the Botnar Institute, a team of over 40 staff and students with extensive expertise in the curation and analysis of multiple real world data assets using the OMOP Common Data Model. More recently, I have joined the European Health Data & Evidence Network EHDEN (www.ehden.eu) and the Observational Health Data Sciences and Informatics OHDSI (www.ohdsi.org) in an effort to accelerate and improve the quality of real world evidence internationally. From February 2022, I am Deputy Director for the European Medicines Agency's Data Analysis and Real World Interrogation Network (DARWIN EU) Coordination Centre, and lead the Development pillar for the generation and/or validation of analytical tools to generate real world evidence for regulatory use.