- Explain what Clinical Research
Informatics (CRI) is and how it relates to Biomedical Informatics and to
Clinical Data Management.
- Describe types of studies
supported by Clinical Research Informatics
- Describe common applications of
Clinical Research Informatics used today to improve the design and conduct of
- Explain science and engineering
principles commonly leveraged in Clinical Research Informatics applications
Who Should Attend:
This webinar is presented at the
introductory level for clinical data managers who are interested in better
leveraging available data to improve clinical study planning, feasibility
analysis, site selection, data collection, reporting to leadership, data
integration, and regulatory submission.
Meet the Instructor
Meredith Nahm Zozus has worked for the last
two decades in health-related research. She started her career as a Data
Quality Auditor, after which she joined the Duke Clinical Research Institute
where she led the Clinical Data Integration Department. Currently at the Duke
Translational Medicine Institute, since 2007 she has served as the Associate
Director for Clinical Research Informatics.
While at Duke, Meredith has been a part of many institutional
infrastructure initiatives and projects leveraging clinical research
informatics. These include site-based research at academic medical centers,
industry funded multi-center trials and federally funded clinical research
networks and data coordinating centers. Dr. Zozus has taught industry short
courses and graduate courses in clinical research informatics at Duke and since
Meredith received her Masters in Nuclear
Engineering from North Carolina State University, and her PhD in Health
Informatics from the University of Texas at Houston.
Participants are eligible to receive CEUs upon attendance and successful completion of a web-based assessment within 30 days after the webinar. CEUs are not granted after the 30-day assesment deadline.
SCDM is authorized by IACET to offer 0.2 CEUs for this program.
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