Funding opportunities: PCORI, letter of intent September 5, 2014, proposal November 4, 2014: http://www.pcori.org/funding-opportunities/funding-announcements/upcoming-opportunities AHRQ, letter of intent September 5, 2014, application due October 17, 2014: http://grants.nih.gov/grants/guide/rfa-files/RFA-HS-14-011.html NSF Smart and Connected Health, October 10, 2014: http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504739&org=NSF&sel_org=CISE&from=fund Google Faculty Research Awards, deadline October 15, 2014: http://research.google.com/university/relations/research_awards.html AHRQ, deadline…
A cornerstone of OHDSI is the development of open-source software tools to facilitate the generation of high-quality medical evidence as well as insights into large-scale observation data. In this section, we will be providing resources for developers who are interested in…
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…
If you have OHDSI-related publications you’d like added to this list, please email Maura Beaton at beaton@ohdsi.org with a list of publications, written out as you would like them to appear online. Featured Publications George Hripcsak, Jon D Duke, Nigam…
Across the OHDSI community, transforming patient-level observational data into the OMOP common data model is a foundational task every data holder has to perform. The ETL specifications and source code that document the transformation process are invaluable artifacts to promote…
Our knowledge base workgroup is developing an open-source repository of standardized evidence about drug-outcome relationships from disparate sources, including published literature, product labeling, spontaneous adverse event reporting, and existing bio-medical ontologies. The knowledge base will serve as the primary source…
Our knowledge base workgroup is developing an open-source repository of standardized evidence about drug-outcome relationships from disparate sources, including published literature, product labeling, spontaneous adverse event reporting, and existing bio-medical ontologies. The knowledge base will serve as the primary source…
A common challenge we all face is developing standard definitions for identifying patients with a particular medical condition or exposed to a specific intervention. Our phenotype workgroup is researching and developing strategies for establishing a standardized, evidence-based approach to constructing…
We are developing open-source tools for large-scale analytics. This includes methods for population-level estimation and patient-level prediction. Our population-level estimation workgroup is focused on developing open-source software for safety surveillance and comparative effectiveness. This will be achieved through large-scale implementations…