Symposium Registration | Call for ParticipationTutorials Registration | Accommodations & Travel | Sponsoring

General Information

OHDSI’s mission is to improve health, by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. As a community we envision a world in which observational research produces a comprehensive understanding of health and disease. OHDSI promotes a collaborative approach to research and has rapidly grown into a vibrant international community. Everyone is welcome to actively participate in OHDSI, whether as a patient, a health professional, a researcher, or someone who simply believes in our cause.

The third European OHDSI Symposium will be held in Oxford (UK) in March 2020. Entitled “From data to impact: the journey towards improving clinical practice”, the symposium will cover a number of talks and topics on the steps that will take us from real world data to improving clinical care through the generation and dissemination of reliable evidence.

The symposium is a platform to share results and ideas about the use of the OMOP-CDM, tool development, and future research. The day will include a collaborator showcase involving posters and podium presentations to highlight OHDSI’s research achievements, and interactive demonstrations of OHDSI’s open-source software tools. We are expecting that initiatives like EHDEN ( and previous Study-A-Thons in Europe will make this event highly attractive, and have booked a venue that can host up to a maximum of 350 attendees.

We encourage people who are new to OHDSI and are interested to learn more about this exciting initiative to join our Journey. 

The main symposium will take place on Friday March 27th 2020 at the Andrew Wiles building, Mathematical Institute of the University of OxfordSaturday March 28th, and Sunday March 29th  will be dedicated to tutorials, to be held in the same venue.


Symposium Registration


Registration for the symposium is free. Please follow the link below to book a space.


Call for participation

We accept submissions for posters and software demonstrations that will be presented during collaborator showcases. Collaborators will be invited to share their final posters onto a poster repository on the OHDSI website.

This year we will have six lightning talks where selected podium communications will be presented during the symposium. 

For more information on how to submit your abstract use this button:

Tutorials registration


Four full-day tutorials will be offered this year on March 28th and 29th in the Mathematical Institute Rooms L4 and L5.

We are organising four 1-day tutorials. Tutorials on the 28th of March cover introductory concepts, and there are no prerequisites for them. Tutorials on the 29th of March  do ideally require attendance to the previous day workshops, as some of the use cases will be initiated during the first day.

The available seats for the tutorials is limited (max 50) so please register as soon as possible to avoid disappointment. The full day tutorials will be offered at a cost of 250 GBP, and include a light lunch and coffee break refreshments..


1 - Strategies for standardising Real World Data (1): OMOP-CDM, Vocabularies, and Extract, Transform and Load (ETL) tutorial

When: March 28th. 9:00-17:00

This tutorial will discuss best practices on the standardisation of Real World Data. We will introduce you to the structure of the OMOP-CDM and the Standardized Vocabularies used to harmonize terminology. You will also learn how to use OHDSI tools developed to help with designing an extract, transform, & load process to take your database from raw observational data to the OMOP Common Data Model.

Target Audience: Data holders who want to apply OHDSI’s data standards to their own observational datasets; and researchers who want to be aware of OHDSI data standards so they can leverage data in the OMOP CDM format for their own research purposes. 

2 -  Analytic Use Cases in Real World Evidence (1): Phenotype definition and evaluation

When: March 28th. 9:00-17:00

This tutorial is intended for those that want to have some time to experience the OHDSI tools used to build and evaluate cohorts using OMOPped data.

Target Audience: Data holders and researchers who want to learn how to use the OHDSI tools for cohort generation and phenotype evaluation.


DAY 2 – ADVANCED WORKSHOPS (29th March 2020)

There will be two advanced workshops on 29th March. These are follow-up from the Day 1 workshops. Some of the practicals and use cases will be initiated on Day 1, so ideally you should attend the Day 1 related Workshop to make the most of Day 2.

1 - Strategies for standardising RWD (2): Data characterisation and quality assessment

When: March 29th. 9:00-17:00

This tutorial will discuss existing and novel tools for the characterisation of mapped data, and for the assessment of data quality at the data source level, at the study-specific level, and in the context of a network study.

Target Audience: Data holders and/or users who want to use OHDSI tools to characterise mapped data, and to assess its quality.

Course prerequisites: knowledge of OMOP CDM and Vocabularies and either basic knowledge understanding of how to define cohorts, or R programming skills. Attendance to the Day 1 Workshop “OMOP-CDM, Vocabularies, and Extract, Transform and Load (ETL)” provides these pre-requisites.

Participants are encouraged to attend the workshop “Strategies for standardising Real World Data (1)” on Day 1. Alternatively, they can watch these tutorials from past years:

CDM tutorial:

Cohort definition:


2 - Analytic Use Cases in RWE (2): Characterisation, Population-level Effect Estimation and Prediction

When: March 29th. 9:00-17:00

This workshop is for researchers who want to learn how to generate real world evidence, from cohort characterisation, to estimation (comparative safety and/or effectiveness), and prediction. We will be using the OHDSI tools to implement and execute these studies.

Target Audience: Data holders and/or users who want to use OHDSI tools to characterise mapped data, and to assess its quality.

Course prerequisitesknowledge of OMOP CDM and Vocabularies and either epidemiologic knowledge understanding of how to define cohorts or R programming skills. Attendance to the Day 1 Workshop Phenotype definition and evaluation” provides these pre-requisites. 

Participants are encouraged to watch these tutorials from past years in preparation for the tutorial:

CDM tutorial:

Cohort definition:


Registration to the symposium on the 27th of March is mandatory to attend the tutorials. Please follow the link below to book your place.


Accommodation & Travel

Please note that registration to the European OHDSI Symposium only covers your attendance. All travel and accommodation arrangements are the responsibility of each participant. For instructions on how to arrive at the Andrew Wiles Building, please follow this link.

Click here for a list of suggested hotels and travel tips:


If you would like to sponsor this event, please have a look at our sponsorship opportunities.