This video highlights the second session, which includes:
0:00 – Collaborator Showcase introduction (Egill Fridgeirsson, Erasmus MC)
1:25 – Extending FastOMOP to the OHDSI Application Layer (Niko Moeller-Grell, King’s College London, UK)
7:00 – An Iterative Annotation Pipeline for Building Clinical Datasets and Training Information Extraction Models: The PREPARE Project (Erik Calcina, Jožef Stefan Institute, Slovenia)
15:30 – Completeness and characteristics of breastfeeding data in SIDIAP (Laura Granés, IDIAPJGol, Spain)
21:05 – Validation of OMOP-Based Secondary Healthcare Resource Use and Cost Estimates for Federated Health Economics Analyses in the UK (Gianluca Fabiano, University of Oxford, UK)
26:35 – Genetic Validation of Evidence-Based Phenotype Refinement in EHR Data (Mary Pat Reeves, FinnGen, University of Helsinki, Finland)
33:15 – Insights on Developing a Federated Machine Learning Prediction Model on Danish and Norwegian Colorectal Cancer Data (Samuel Wiqvist, Zealand University Hospital, Denmark)