The Use of Medication Data Standards and Ontologies to Support Knowledge Discovery from Health Care Data Sets

Goals of the NIH Roadmap initiative include the harmonization of clinical and research data as well as the use of data standards throughout the research process.

When Feb 08, 2012
from 04:00 PM to 05:00 PM
Where Health Sciences Library room 328
Contact Name
Contact Phone 919-962-0182
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Clinical research and healthcare delivery domains have some shared data requirements (e.g., clinical data content, coverage), but other needs are unique to clinical research (e.g., aggregating data). Dr. Richesson will briefly present the use of emerging data standards in a multinational pediatric epidemiology study. To support aggregation of medications for analysis, we use two clinical data standards: RxNorm for coding/naming the reported medications and National Drug File Reference Terminology (NDF-RT; developed by the Veter for classifying them. Dr. Richesson will describe her use of reported pediatric medication data from a multi-national epidemiological study of over 8,000 children in 4 countries to assess the completeness of RxNorm – NDF-RT mappings (i.e., the coverage of NDF-RT) and the ability of NDF-RT to provide a subset of classes that are meaningful to pediatric and epidemiology researchers.

Rachel Richesson, PhD, MPH

Rachel Richesson joined the DUSON faculty in December, 2011 from the University of South Florida where she has held an appointment as an associate professor in the College of Medicine, Department of Pediatrics. Since 2003, Dr. Richesson has helped to direct strategy for the identification and implementation of data standards for a variety of multi-national multisite clinical research and epidemiological studies, including the NIH Rare Diseases Clinical Research Network (RDCRN) and The Environmental Determinants of Diabetes in the Young (TEDDY) study. Dr. Richesson has also conducted original research on the quality and usability of various terminological data standards, particularly in the context of clinical research, and has presented dozens of posters and invited talks on the topic of data standards in clinical research.

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