November 2023
OHDSI RWE Revolution: Igniting Data Modernization with Harmonized Standards for Cutting-Edge Health Research (EMA Data Analytics and Methods Task Force)
Atif Adam, Asieh Golozar, Ben Martin, Paul Nagy, Gowtham Rao, Christian Reich, Mui Van Zandt, Ross Williams
Analysis and Interpretation of Real-World Data: A 5-Year Outlook
November 2021
Learnings Initiative for Optimal Use of Big Data for Regulatory Purpose (EMA Data Analytics and Methods Task Force)
Patrick Ryan – Janssen, Columbia University
Analysis and Interpretation of Real-World Data: A 5-Year Outlook
Presentation Slides
May 2021
Building Data Capacity for Patient Centered Outcomes Research: Data Standards, Methods, and Policy Workshop
Patrick Ryan – Janssen, Columbia University
Building Data Capacity for Patient Centered Outcomes Research: Perspectives from the OHDSI community
presentation to the National Academies
Presentation Slides
Nigam Shah – Stanford University
Building Data Capacity for Patient Centered Outcomes Research
presentation to the National Academies
Presentation Slides
April 2021
Observational Health Data Sciences and Informatics, Interoperability, and Research
George Hripcsak – Columbia University
presentation to the ONC Interoperability Standards Priorities Task Force
Presentation Slides
September 2020
Korean HIRA Big Data Forum
Concerted Efforts Based on Big Data in Response to the Global Pandemic
Dani Prieto-Alhambra – University of Oxford
Using Healthcare Big Data in Pandemic Response though Population-Level Effect Estimation
Presentation Slides
Patrick Ryan – Janssen, Columbia University
Using Healthcare Big Data in Pandemic Response by Characterizing Disease Natural History and Predicting Patient Outcomes
Presentation Slides
Kristin Kostka — IQVIA
International Distributed Research Network (DRN) to Combat COVID-19
Presentation Slides
August 2020
2020 Joint Statistical Meetings
Session: The OHDSI Collaboration: Generating Reliable Evidence from Large-Scale Healthcare Data
Patrick Ryan – Janssen, Columbia University
The OHDSI Collaboration: Mission, Accomplishments, and the Road Ahead
Presentation Slides
David Madigan – Northeastern University
OHDSI Methods for Causal Effect Estimation
Presentation Slides
Marc Suchard – UCLA
Large-Scale Evidence Generation in a Network of Databases (LEGEND) Methodology and the Hypertension Study
Presentation Slides
July 2020
Reagan-Udall Foundation
Natural History and Exploring Long-Term Effects
Patrick Ryan – Janssen, Columbia University
Analyzing COVID-19 Twitter Chatter
Juan Banda – Georgia State University
Daniel Prieto-Alhambra – Oxford University
Combined Presentation Slides
May 2020
Reagan-Udall Foundation
OHDSI Community Efforts on COVID-19 Disease Natural History
Patrick Ryan – Janssen, Columbia University
Dani Prieto-Alhambra, MD PhD – Oxford University
Talita Duarte Salles, PhD – IDIAPJGol
Ross Williams – Erasmus MC
Presentation Slides
ISPE Webinar
Open Science for Observational Research: Lessons from the OHDSI Collaborative
Patrick Ryan – Janssen, Columbia University
Presentation Slides
April 2020
Reagan-Udall Foundation
OHDSI COVID-19 Study-a-Thon and Evaluation of Safety of Hydroxychloroquine in RA Patients
Patrick Ryan – Janssen, Columbia University
Presentation Slides
March 2020
COVID-19 Study-A-Thon
Global Closing Call
Multiple OHDSI Collaborators
Presentation Slides
August 2019
MedInfo 2019
Drawing reproducible conclusions from observational clinical data with OHDSI
George Hripcsak – Columbia University
Presentation Slides
August 2017
MedInfo 2017
Research infrastructure of the Observational Health Data Sciences and Informatics (OHDSI) consortium:
Institutional and researcher’s perspectives
Vojtech Huser – NIH
Rae Woong Park – Ajou University
Christian Reich – QuintilesIMS
Presentation Slides
MedInfo 2017
OHDSI in Korea
Rae Woong Park – Ajou University
Christian Reich – QuintilesIMS
Presentation Slides
MedInfo 2017
OHDSI in Europe
Christian Reich – QuintilesIMS
Presentation Slides
OHDSI China-WG F2F
OHDSI ATLAS (In Chinese)
Chunhua Weng – Columbia University
Presentation Slides
September 2016
2016 OHDSI Symposium
The OHDSI Community
Symposium Event Page
Washington DC
Symposium Materials
March 2016
Observational Health Data Sciences and Informatics (OHDSI): A Rapidly Growing International Network for Open Science and Data Analytics in Healthcare
Patrick Ryan, Janssen Research & Development
Vojtech Huser, National Institutes of Health
Nigam Shah, Stanford University
George Hripcsak, Columbia University
Jon Duke, Regenstrief Institute
AMIA Joint Summit
San Francisco
Presentation
October 2015
2015 OHDSI Symposium
The OHDSI Community
Symposium Event Page
Washington DC
Symposium Materials
August 2015
Open-Source Big Data Analytics in Healthcare
Patrick Ryan, Janssen Research & Development
George Hripcsak, Columbia University Medical Center
Jon Duke, Regenstrief Institute
MedInfo 2015 – OHDSI Tutorial
São Paulo, Brazil
Presentation
June 2015
An Open Science Approach to Medical Evidence Generation: Introducing Observational Health Data Sciences and Informatics
Jon Duke, Regenstrief Institute
AcademyHealth – Annual Research Meeting
Minneapolis MN, USA
Presentation
Applying Hill’s criteria as a framework for causal inference in observational data
Patrick Ryan, Janssen Research & Development
Drug Safety Research Unit – Signal Detection Conference
London, United Kingdom
Presentation
May 2015
How to extract transform and load observational data?
Martijn Schuemie, Janssen Research & Development
Beijing, China
Presentation
March 2015
ConceptQL – An open source, high-level language that allows researchers to unambiguously define their research algorithms
AMIA Spring Symposum 2015 – San Francisco, CA
Presentation
An Open Collaborative Approach for Rapid Evidence Generation
AMIA Spring Symposum 2015 – San Francisco, CA
Presentation
Piloting a Comprehensive Knowledge Base for Pharmacovigilance Using Standardized Vocabularies – Rich Boyce, University of Pittsburgh
AMIA Spring Symposum 2015 – San Francisco, CA
Creating Clinical Phenotypes Using Structured and Unstructured Data – Jon Duke, Regenstrief Institute
AMIA Spring Symposum 2015 – San Francisco, CA
June 2014
Opportunity for real-world evidence from large-scale analysis of observational health data – Patrick Ryan, Janssen R&D
AAAS, Evidence for New Medical Products: Implications for Patients and Health Policy – Washington, DC
Video Presentation (begins at 40:30)
Establishing an Open Source Informatics Framework to enable Observational Health Data Sciences – Frank DeFalco, Janssen R&D; Patrick Ryan, Janssen R&D; and Christopher Knoll, Janssen R&D
4th Annual EDM Forum Stakeholder Symposium – San Diego, CA
Presentation Slides
May 2014
Dynamic Product Labeling – Jon Duke, Regenstrief Institute
Uppsala Monitoring Centre Research Conference 2014 – Uppsala, Sweden
Presentation Slides (starts at slide 42)
The complementary roles of population-level estimation and patient-level prediction in pharmacovigilance – Patrick Ryan, Janssen R&D
Uppsala Monitoring Centre Research Conference 2014 – Uppsala, Sweden
Presentation Slides
OHDSI Overview and OMOP Common Data Model Development – Patrick Ryan, Janssen R&D and Christian Reich, AstraZeneca
IMEDS Community Meeting Webinar
Presentation
OHDSI Presentation with Audio
OMOP CDM v5 Draft Presentation with Audio
April 2014
Learning From Observational Healthcare Data: Lessons from the Observational Medical Outcomes Partnership
– Patrick Ryan, Janssen R&D
3rd Workshop on Data Mining for Medicine and Healthcare, SIAM International Conference on Data Mining – Philadelphia, PA
March 2014
Learning From Observational Healthcare Data: Lessons from the Observational Medical Outcomes Partnership
– Patrick Ryan, Janssen R&D
ASCPT Annual Meeting; Next-Generation Clinical Pharmacology: Integrating Systems Pharmacology, Data-Driven Therapeutics, and Personalized Medicine – Atlanta, GA
Presentation
To see slides from our weekly collaborator meetings, please click below:
Community Meeting Presentations
