Jennifer Duryea is currently a research scientist at Outcomes Insights. With extensive prior experience working in medical billing software development and reviewing medical claims data, Jennifer applied her skills at Outcomes Insights to projects involving economic model development and large observational dataset analysis, most notably U.S. medical claims data. Currently, her main responsibility is to support development and client requirements of Outcomes Insights study-building software product, Jigsaw (http://jigsaw.io/). She is the lead on transforming OMOP datasets to datasets compliant with Jigsaw and common epidemiological analysis use cases. Such datasets transformed include Marketscan data, Clinical Practice Research Datalink (CPRD), Pharmetrics Claims, SEER-Medicare, and Medicare Limited Data sets (LDS). Jennifer is also an active contributor to the OHDSI community, authoring the Medicare SynPUF ETL technical document and the Cost Table specification for OMOP CDM v5.0.1. She was integral to incorporating changes to WhiteRabbit and RabbitInAHat OHDSI tools and is a frequent participant in the CDM working group. Jennifer received her Master’s in Public Health degree at the University of California, Los Angeles.
Danese MD, Voss EA, Duryea J, et al. Feasibility of Converting the Medicare Synthetic Public Use Data Into a Standardized Data Model for Clinical Research Informatics, American Medical Informatics Association 2015 Annual Meeting Proceedings, p.1449.