Emily Eades Johnson Ph.D.
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Biography
Dr. Emily Johnson, PhD is an associate professor in the College of Nursing at the Medical University of South Carolina (MUSC). She teaches primarily in the Doctorate of Nursing Practice (DNP) program. She received a Bachelor of Science Degree from Furman University, a Master in Health Administration Degree from MUSC, and a Doctoral Degree in Health and Rehabilitation Science from MUSC.
Dr. Johnson served as an administrative resident at MUSC Hospital Authority prior to starting a research analyst position at MUSC, which she held for over eleven years. During this time, Dr. Johnson participated in health services research in the areas of hospital access, student health clinic outcomes, trauma care outcomes, and telemedicine. She has expertise in quantitative and qualitative research methods as well as analysis and interpretation of large state and national-level data sets. She has presented research findings at national and international conferences and has published in a variety of peer-reviewed journals. Current research interests include implementation science using mixed method research design. She is currently a co-investigator in the MUSC Center of Telehealth Excellence, evaluating implementation of telehealth-based interventions.
Dr. Johnson has taught at the undergraduate and graduate level at MUSC and Ohio University. She has teaching experience in the areas of organizational theory, research design and statistics, and epidemiology. Dr Johnson currently teaches statistics and epidemiology in the College of Nursing DNP program and serves as the statistician on all DNP student quality improvement capstone projects.
At MUSC, Dr. Johnson is a member of the Archival Data Analysis Collaborative, a committee that stores large data bases and guides faculty members in the utilization of these data. She is also a member of the national Society for Implementation Research Collaboration Network of Expertise and a selected abstract reviewer for Academy Health Implementation-based conferences.
Keywords: implementation science, data management, quality improvement, telehealth, statistics