Symposium Agenda
Poster Presentations
Software Demonstrations
Lightning Talks
Symposium Sponsors
OHDSI Bibliography
Welcome: Where’s our journey? – George Hripcsak
The OHDSI Patient-Level Prediction Journey – Jenna Reps
Large-Scale Evidence Generation and Evaluation in a Network of Databases (LEGEND) – Patrick Ryan
Large-Scale Evidence Generation and Evaluation in a Network of Databases (LEGEND) – Martijn Schuemie
Large-Scale Evidence Generation and Evaluation in a Network of Databases (LEGEND) – Marc Suchard
FDA Panel – Azadeh Shoaibi
FDA Panel – Alan Williams
Global Panel – Europe – Peter RijnBeek
Global Panel – Australia – Nicole Pratt
Global Panel – Korea – Rae Woong Park
Global Panel – China – Mui Van Zandt
Global Panel – Brazil – Andre Ballalai Ferraz
OHDSI in Denmark: From Ithaca to bedside – Iannis Drakos
Validation of Genomic CDM Extension with Real World Clinical Genomics Data – Kyu-pyo Kim
Condition Coding Practice Differences Between USA, Asia and Europe: Preliminary Results from European Birth Season – Disease Risk Study – Mary Regina Boland
The value of negative controls for the self-controlled case series design – James Weaver
Comparison of existing bleeding risk prediction models to large scale patient-level prediction models – Clair Blacketer
Predicting 1-year risk of Heart Failure for patients with Type 2 Diabetes – Ross Williams
It takes a village: An open-science approach to improving quality and efficiency of the real-world evidence generation process – Kristin Feeney Kostka
Main Symposium
OMOP Common Data Model and Standardized Vocabularies
Overview of the OHDSI Analysis Ecosystem
Population-Level Estimation
Patient-Level Prediction
Data Quality
Cohort Definition/Phenotyping