Slides as given for the i2b2 conference in October 2019. https://transmartfoundation.org/tubingen-symposium-2019-agenda/
Observational Health Data Sciences and Informatics (OHDSI) is a multi-stakeholder,
interdisciplinary, international collaborative with a mission to improve health by empowering
a community to collaboratively generate the evidence that promotes better health decisions
and better care. With 200 researchers from 25 countries and half a billion unique patients,
OHDSI carries out federated studies at sufficient scale to answer questions about diagnosis
and treatment. At the heart of the OHDSI platform is the OMOP Common Data Model,
currently at v6, around which a toolset is built for carrying out reusable, repeatable and
reproducible observational clinical research on a large scale.
1. Large scale observational clinical
research with OHDSI
2019-10-08
Maxim Moinat – Data Engineer – The Hyve
2. 2
Topics
● What is OHDSI? Mission, Challenges and Community
● Data standards. The Common Data Model and Standard
Vocabularies
● Tooling. Using Atlas for best observational research practices
● OHDSI Network studies, European network (EHDEN)
4. 4
OHDSI’s Vision
A world in which observational research produces a
comprehensive understanding of health and disease.
OHDSI’s Mission
To improve health by empowering a community to
collaboratively generate the evidence that promotes better
health decisions and better care.
https://www.ohdsi.org/who-we-are/mission-vision-values/
5. 5
Global OHDSI community
256 collaborators in 27 different countries over six
continents
Across academia, pharma, regulators,
government, payers, technology providers, health
systems, clinicians, patients.
Active community online: forums, Github, weekly
community calls, >25 working groups.
Regular meetings: f2f events, tutorials, yearly
symposia in the US, Europe and Asia.
8. 8
2019 OHDSI Data Network
133 different databases with patient-level data from various
observational health sources
18 different countries, with >1 billion patient records
All using one open community data standard:
OMOP Common Data Model
https://www.ohdsi.org/web/wiki/doku.php?id=resources:2019_data_network
12. 12
OMOP standard vocabularies
Standardised globally
Analytical standards: SNOMED, RxNorm, LOINC
More than 100 ‘source’ vocabularies mapped to the
standards
7.4 million concepts
3.0 million standard + 0.5 million classification
Comprehensive hierarchy: ~45 million relationships
Publically available: https://athena.ohdsi.org
26. Results from the OHDSI Network
Characterisation, Comparative and EHDEN
26
27. 27
Clinical Characterization: Population-level heterogeneity across
systems, and patient-level heterogeneity within systems
Characterizing treatment pathways at scale using the OHDSI network
George Hripcsak, Patrick B. Ryan, Jon D. Duke, Nigam H. Shah, Rae Woong Park, Vojtech Huser, Marc A. Suchard, Martijn J. Schuemie, Frank J. DeFalco, Adler Perotte, Juan M.
Banda, Christian G. Reich, Lisa M. Schilling, Michael E. Matheny, Daniella Meeker, Nicole Pratt, David Madigan
Proceedings of the National Academy of Sciences Jul 2016, 113 (27) 7329-7336; DOI: 10.1073/pnas.1510502113
https://www.pnas.org/content/113/27/7329.short
Type 2 Diabetes Mellitus Hypertension Depression
OPTUM
GE
MDCDCUMC
INPC
MDCR
CPRD
JMDC
CCAE
29. Oxford Study-a-thon (2)
29
“To compare the risk of post-operative complications
(infection, revision, and venous thrombo-embolism) between
unicompartmental (UKR) vs total knee replacement (TKR).”
31. 31
EHDEN CONSORTIUM
Start date: 1 Nov 2018
End date: 30 Apr 2024
Duration: 66 months
Non-for-profit organisations
Small to medium-sized companies
EFPIA & Associated partners
Universities, public bodies and research organisations
Almost €29
million
Academic
coordinator
EFPIA Lead
22 partners
Innovative Medicines Initiative Project
32. 32
CALL PROCESS OVERVIEW
Tailored for project
objectives and
sustainability
Data sources
Supporting SMEs
Open calls
Focusing on SMEs
able to support
mapping and
sustainability
Open calls
Workshop
Source
Data
Evaluation
Share of
Mapping
Process
Mapping
Audit
Mapping
Cycle
Evaluated via a pre-
defined set of criteria
by the Data source
prioritisation
committee
Harmonisation fund
Data sources can
choose the SME from
the pool of EHDEN
certified SMEs
SMEs are paid via
grants from the
harmonisation fund
Payments are
milestone based
Mapped data sources are encouraged to be
active members of the EHDEN community,
participating in research studies.
Grant awarding
Training & Certification
SME certification
committee prioritizes
SMEs for training and
certification
First round closed
Sept 15th
First group certified!
Max. 100k
33. ❏ Five-years project aiming to ensure the optimal care for all European men living
with prostate cancer by unlocking the potential of Big Data and Analytics. The
project is still in its early stages and The Hyve is collaborating with E.F.P.I.A.
European Federation of Pharmaceutical Industries partners and academia to set
up a catalogue of relevant prostate cancer registries and other useful
healthcare datasets. The Hyve will use the OMOP and OHDSI technologies to
support data integration and analysis for longitudinal prostate cancer registries.
Public Projects
❏ BigData@Heart is a five-years project aimed at setting standards for
cardiovascular big-data science. Among other tasks, The Hyve is working on a
case study which compares the survival of heart failure patients across England,
Sweden, Spain and the Netherlands. The Hyve is currently in the process of
converting health records from these four countries to the OMOP Common Data
Model. This conversion allows us to leverage existing observational methods that
are commonly used within the OHDSI community.
33
36. 36
Acknowledgements
OHDSI community, in particular:
● Peter Rijnbeek
● (Ass. Prof of Health Data Science at Erasmus MC, EHDEN lead)
● Patrick Ryan
● (VP Observational Health Data Analytics, Janssen, OHDSI US lead)
