Joyce Mitchell
From Rutgers Medical Informatics History Project
Name: Joyce A. Mitchell, Ph.D.
Elected ACMI Fellow: 1989. President ACMI 2008-2010
Birthdate:
Degrees: B.A. Mathematics, Biology Stephens College, (Summa Cum
laude), 1972 Ph.D., Population Genetics, University of Wisconsin 1976
Current Position: Executive Committee, ACM; Associate Vice President,
Health Sciences Information Technology, University of Utah; Professor
and Chair, Department of Biomedical Informatics, University of Utah;
Adjunct Professor, Department of Pediatrics, University of Utah;
Adjunct Professor, School of Nursing University of Utah; Director, Biomedical Informatics Core for the Center for Clinical and Translational Sciences (CCTS)
Current email: Joyce.Mitchell@hsc.utah.edu
Professional Affiliations:
Professional Activities: Board of Regents of the National Library of Medicine (NLM), and will serve on the Council of Councils for the National Institute of Health (NIH) from 2012-2016
Honors and Awards:
Other Works:
Other Information:
Curriculum Vitae: University of Utah CV
Selected Publications:
Efficiency of CYP2C9 genetic test representation for automated pharmacogenetic decision support. Methods of Information in Medicine, 2009 Evaluating the informatics for integrating biology and the bedside system for clinical research. BMC Medical Research Methodology, 2009 How well does family history predict who will get colorectal cancer? Implications for cancer screening and counseling. Genetics In Medicine, 2011 Using information prescriptions to refer patients with metabolic conditions to the Genetics Home Reference website. Medical Library Association. Journal, 2011 Architecture of a federated query engine for heterogeneous resources. AMIA Annual Symposium. Proceedings, 2009 International efforts in nanoinformatics research applied to nanomedicine. Methods of Information in Medicine, 2011 Developing a Semantic Framework for Clinical and Translational Research Journal of the American Medical Informatics Association: JAMIA, Computational Feature of Selection and Classification of RET Phenotypic Severity. Journal of Data Mining in Genomics & Proteomics
Books
Additional Media:
Sources:
University of Utah biography
