In this tutorial, we will introduce participants to steps along the journey from data to evidence using the OMOP Common Data Model, OHDSI tools and scientific best practices.

In each 50-minute segment, the class will learn the conceptual framing of the problem and approach to the solution. Then, the class will have the opportunity to have hands-on exposure to design and implementation of analyses and interpretation of results. The course will be motivated by a real use case: using observational data to generate evidence about the relationship between an exposure and outcome and will highlight how the suite of OHDSI tools and practices can enable such learning.

This class is designed for newcomers to the OHDSI community who are looking for a high-level summary across a wide range of topics covered within the OHDSI community. It’s also designed for those in the OHDSI community who may be focused in one particular area of the journey who want exposure to the other areas, so they can better understand how their work contributes to be ‘big picture’ and advances the mission to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care.

Registration Details

Saturday, October 15 -Tutorial registration

Registration fee: $300*

* this is an open and inclusive event; if the registration fee represents a burden to you, please contact symposium@ohdsi.org.

Should you need to make changes or cancel your registration ticket, please follow the instructions you will receive on your Eventbrite confirmation upon registration completion. Please note that tickets can be refunded up until 7 days prior to the event; Eventbrite fees are not refundable.

Agenda • Times are Eastern Standard Time & subject to change:

8:30 am • Overview of the OHDSI Journey: where are we going? – Patrick Ryan

9:00 am • OMOP Common Data Model and vocabulary – Clair Blacketer

9:50 am • Energy break

10:00 am • ETL a source database into OMOP CDM - Melanie Philofsky

10:50 am • Energy break

11:00 am • Creating cohort definitions – Asieh Golozar

11:50 am • Lunch break

12:30 pm • Phenotype evaluation – Gowtham Rao

1:20 pm • Energy break

1:30 pm • Characterization – Kristin Kostka

2:20 pm • Energy break

2:30 pm • Estimation – Martijn Schuemie

3:20 pm • Energy break

3:30 pm • Prediction – Jenna Reps

4:20 pm • Recap of the OHDSI Journey, where do we go from here? – George Hripcsak