Erica A. Voss

BioOHDSI Publications
Erica Voss

Erica A. Voss, MPH
Director, Epidemiology Analytics
Janssen Research and Development
evoss3@its.jnj.com

Erica Voss is currently a Director in the Epidemiology Analytics group within Epidemiology at Janssen Research & Development, a Johnson & Johnson company. Starting in the IT department, she focused on data warehousing and working with large datasets. In 2007, she started working with observational datasets and later joined the Epidemiology department in 2011. Her projects typically include studying patient populations across different therapeutic areas as well as implementing OHDSI tools, such as converting the IBM MarketScan and Optum Extended claims datasets into the OMOP Common Data Model. Erica received her Bachelor of Science in Information Sciences and Technology at the Pennsylvania State University, and she received her Masters in Public Health from Johns Hopkins Bloomberg School of Public Health. She is currently pursuing her PhD in Medical Informatics at Erasmus MC. She is also a certified Project Management Professional.

Knowledge Base workgroup of the Observational Health Data Sciences and Informatics (OHDSI) collaborative. Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data. J Biomed Semantics. 2017 Mar 7;8(1):11. doi: 10.1186/s13326-017-0115-3. PubMed PMID: 28270198; PubMed
Central PMCID: PMC5341176.

Voss EA, Boyce RD, Ryan PB, van der Lei J, Rijnbeek PR, Schuemie MJ. Accuracy of an automated knowledge base for identifying drug adverse reactions. J Biomed Inform. 2017 Feb;66:72-81. doi: 10.1016/j.jbi.2016.12.005. Epub 2016 Dec 16. PubMed PMID: 27993747; PubMed Central PMCID: PMC5316295.

Voss EA, Makadia R, Matcho A, Ma Q, Knoll C, Schuemie M, DeFalco FJ, Londhe A, Zhu V, Ryan PB. Feasibility and utility of applications of the common data model to multiple, disparate observational health databases. J Am Med Inform Assoc. 2015 Feb 10. pii: ocu023. doi: 10.1093/jamia/ocu023. [Epub ahead of print] PubMed PMID: 25670757.

Voss, Erica A, Ma, Qianli, & Ryan, Patrick B. (2015). The impact of standardizing the definition of visits on the consistency of multi-database observational health research. BMC Medical Research Methodology, 15(1), 13.

Boyce RD, Ryan PB, Norén GN, Schuemie MJ, Reich C, Duke J, Tatonetti NP, Trifirò G, Harpaz R, Overhage JM, Hartzema AG, Khayter M, Voss EA, Lambert CG, Huser V, Dumontier M. Bridging Islands of Information to Establish an Integrated Knowledge Base of Drugs and Health Outcomes of Interest. Drug Saf. 2014 Jul 2. PubMed PMID: 24985530.

Voss E, Ma Q, Ryan PB.  Standardization of Inpatient Visits into the ETL of OMOP Common Data Model. Observation Medical Outcomes Partnership (OMOP) – Innovation in Medical Evidence Development and Surveillance (IMEDS) 2013 Symposium. November 2013. (Best Poster Award)

Voss E, Ryan PB, Madigan D, Weiner J.  Exploring Dechallenge & Rechallenge Patterns in Observational Health Care Data:  Feasibility & Utility of Patient-Level Natural Experiments in Risk Identification.  Observation Medical Outcomes Partnership (OMOP) 2012 Symposium.  July 2012.

 

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