Frank DeFalco is an Associate Director of Epidemiology Analytics at Janssen Research and Development where he architects software solutions and data platforms for the analysis and application of observational data sources. He is currently the leader and Benevolent Dictator of the OHDSI open source architecture working group. Frank is a presenter and panelist at OHDSI symposiums and has served as faculty for OHDSI symposium tutorials classes on architecture and common data model vocabulary.
In addition to leading the OHDSI Architecture working group Frank initiated development of a standardized platform for observational analytics known as ATLAS. He is an active contributor to the open source software repositories developed and released by OHDSI including ATLAS, WebAPI, Achilles, Circe, Arachne, Visualizations, Hermes, Helios and others. Frank’s areas of expertise include computation epidemiology, large scale data platforms, software development and architecture, data visualization and informatics.
Prior to joining Janssen Research and Development, Frank held the position of Senior Principal and Director of Collaboration and Analytics at British Telecom where he was a strategic advisor for multiple Fortune 100 companies across sectors including Consumer Products, Telecommunications and Pharmaceuticals. Frank received his undergraduate degrees in Computer Science and Psychology at Rutgers University.
Characterizing treatment pathways at scale using the OHDSI network
Proceedings of the National Academy of Sciences 113 (27), 7329-7336
Dataprint: A Novel Visualization Tool for Database Comparison
OHDSI Symposium 2017
Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets
Architectural Considerations to Enable Large Scale Analytics from the OHDSI Web Platform
OHDSI Symposium 2016
Feasibility and utility of applications of the common data model to multiple, disparate observational health databases
Journal of the American Medical Informatics Association, Volume 22, Issue 3, 1 May 2015, Pages 553–564, https://doi.org/10.1093/jamia/ocu023
Establishing an Open Source Informatics Framework to enable Observational Health Data Sciences
Jul 6, 2014, EDM Forum
Applications of the OMOP Common Data Model for Clinical Trial Feasibility Assessment
Applying standardized drug terminologies to observational healthcare databases: a case study on opioid exposure.
Health Serv Outcomes Res Methodol. 2013 Mar;13(1):58-67. Epub 2012 Oct 27.
Defalco FJ, Ryan PB, Soledad Cepeda M. Applying standardized drug terminologies to observational healthcare databases: a case study on opioid exposure. Health Serv Outcomes Res Methodol. 2013 Mar;13(1):58-67. Epub 2012 Oct 27.