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Casey L Overby, PhD

Adjunct Investigator I

Assistant Professor, Johns Hopkins University


LOCATION(S)

Genomic Medicine Institute
100 North Academy Avenue
Danville, PA 17822
overby@jhu.edu

Johns Hopkins University
2024 E. Monument Street, Suite 1-200
Baltimore, MD 21205
overby@jhu.edu

EDUCATION

MB, Biotechnology (Bioinformatics track), University of Pennsylvani School of Arts and Sciences and Penn Engineering, 2006
PhD, Biomedical and Health Informatics, University of Washington School of Medicine, 2011


RESEARCH FOCUS

Technology Applications to Medicine, Health Information Technology, Genomics, Genetics, Pharmacogenetics


EXPERTISE

Biomedical Informatics, Public Health Genetics, Clinical Decision Support, Knowledge-based Methods


RESEARCH INTERESTS

My research interests span a number of areas at the intersection of public health genetics and biomedical informatics, including applications that support translation of biological knowledge to clinical care and population healthcare, delivering health information and knowledge to the public, and developing knowledge-based approaches to use big data for population health. I completed pre-doctoral National Library of Medicine (NLM) biomedical informatics training and National Human Genome Research Institute (NHGRI) genome sciences training fellowships at the University of Washington. I also completed a post-doctoral NLM informatics training fellowship at Columbia University.

 Nationally, I am participating in electronic health record (EHR) implementation activities on NHGRI-funded grants including the Electronic Medical Records and Genomics (eMERGE) Network and the Clinical Genome Resource (ClinGen) grants as a subcontract investigator with the Geisinger Health System, and as a co-investigator on the Implementing GeNomics In PracTice (IGNITE) grant at University of Maryland School of Medicine.


RECENT PUBLICATIONS

Devine EB, Lee C, Overby CL, Abernethy N, McCune J, Smith JW, Tarczy-Hornoch P. . (2014, Jul). Usability Evaluation of Pharmacogenomics Clinical Decision Support Aids and Clinical Knowledge Resources in a Computerized Provider Order Entry System: A Mixed Methods Approach. . International Journal of Medical Informatics. , 2014; 83(7), 473-83.   

Overby CL, Hripcsak G, Shen Y. (2014, Jul). Estimating Heritability of Drug-Induced Liver Injury from Genome-wide Common Variants. Scientific Reports , 4, 5762.   

Overby CL, Pathak J, Gottesman O, Haerian K, Perotte A, Murphy S, Bruce K, Johnson S, Talwalker J, Shen Y, Ellis S, Kullo I, Chute C, Friedman C, Bottinger E, Hripcsak G, Weng C. . (2013, Dec). A Collaborative Approach to Develop an Electronic Health Record Phenotyping Algorithm for Drug-Induced Liver Injury. Journal of the American Informatics Association , 20(e2), e243-52.   

Overby CL*, Kohane I*, Williams MS, Kannry J, Starren JB, Bottinger E, Gottesman O, Denny JC, Weng C, Tarczy-Hornoch P, Hripcsak G . (2013, Oct). Opportunities for Genomic Clinical Decision Support Interventions. Genetics in Medicine , 15(10), 817-23.   

Overby CL, Devine EB, Tarczy-Hornoch P, Kalet I. . (2012, Sep). Deriving Rules and Assertions From Pharmacogenomic Knowledge Resources In Support of Patient Drug Exposure Predictions . J Am Med Inform Assoc , 19(5), 840-50.   


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