Presentations

Past Presentations
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
Establishing an Open-Source Community for Large-Scale Analytics and International Evidence Generation: Lessons from the Observational Health Data Sciences and Informatics Program
Patrick Ryan, Janssen Research & Development
DIA 2015 – Program Schedule
Washington DC, USA
Presentation

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: