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Informatics Research Seminar: Ethical Approaches to Research Use of Clinical Records and Data
April 5 @ 4:00 pm - 5:00 pm
Speaker: Kathleen M. Brelsford, PhD, MPH, MA
Presented from Duke University
Broadcast Link: SEMINAR
The Informatics Research Seminar Series is sponsored by Duke University in collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.
Dr. Brelsford will present findings on ethical approaches to research use of clinical records. Specifically, she will present data on patient perspectives regarding the acceptability of three different approaches to notifying patients about research use of clinical records; patient willingness to share non-identifiable and identifiable data in clinical records with several different types of researchers; and acceptability of researcher contact based on data in patient EHRs. Her presentation is based on findings from 120 in-depth interviews and 15 focus group discussions (110 participants) conducted in four diverse counties in the southeastern United States: Durham, NC; Cabarrus, NC; Quitman, MS; and Mingo, WV.
Kathleen Brelsford, PhD, MPH, MA is a medical anthropologist with a PhD and MA in applied anthropology and an MPH in community and family health. She has over 15 years of experience conducting, analyzing, and reporting mixed method research on a variety of health-related issues. She has collected ethnographic data from diverse stakeholder groups using a wide array of methods and is highly proficient with multiple data analysis software programs. Dr. Brelsford has taught courses and workshops on collecting and analyzing qualitative research and has won awards for excellence in teaching. She is currently the Senior Social Scientist in the Program for Empirical Bioethics at Duke University, where she is integrally involved in the design, conduct, and analysis of several empirical studies on research recruitment, informed consent, and confidentiality protections in large-scale genomic research.