Joyce A Mitchell

Summary

Affiliation: University of Utah
Country: USA

Publications

  1. ncbi Evaluating the informatics for integrating biology and the bedside system for clinical research
    Vikrant G Deshmukh
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA
    BMC Med Res Methodol 9:70. 2009
  2. ncbi 50 years of informatics research on decision support: what's next
    J A Mitchell
    The University of Utah, Department of Biomedical Informatics, 26 South 2000 East, HSEB 5700, Salt Lake City, UT 84112 5750, USA
    Methods Inf Med 50:525-35. 2011
  3. ncbi Challenges and strategies of the Genetics Home Reference
    Joyce A Mitchell
    Department of Medical Informatics, University of Utah, Salt Lake City, Utah, USA
    J Med Libr Assoc 94:336-42. 2006
  4. ncbi Effectiveness of topic-specific infobuttons: a randomized controlled trial
    Guilherme Del Fiol
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    J Am Med Inform Assoc 15:752-9. 2008
  5. ncbi Efficiency of CYP2C9 genetic test representation for automated pharmacogenetic decision support
    Vikrant G Deshmukh
    University of Utah, School of Medicine, Department of Biomedical Informatics, Salt Lake City, UT 84112, USA
    Methods Inf Med 48:282-90. 2009
  6. ncbi Using information prescriptions to refer patients with metabolic conditions to the Genetics Home Reference website
    Denise E Beaudoin
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA
    J Med Libr Assoc 99:70-6. 2011
  7. ncbi How well does family history predict who will get colorectal cancer? Implications for cancer screening and counseling
    David P Taylor
    Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah 84112 5750, USA
    Genet Med 13:385-91. 2011
  8. ncbi Comparison of compliance for colorectal cancer screening and surveillance by colonoscopy based on risk
    David P Taylor
    Department of Biomedical Informatics, University of Utah, School of Medicine, Salt Lake City, Utah 84112 5750, USA
    Genet Med 13:737-43. 2011
  9. ncbi Integrating historical clinical and financial data for pharmacological research
    Vikrant G Deshmukh
    Department of Biomedical Informatics, School of Medicine, University of Utah, 26 South 2000 East Room 5775, Salt Lake City, UT 84112, USA
    BMC Med Res Methodol 11:151. 2011
  10. ncbi 'Genetics home reference': helping patients understand the role of genetics in health and disease
    Cathy Fomous
    National Library of Medicine, Bethesda, MD20894, USA
    Community Genet 9:274-8. 2006

Detail Information

Publications12

  1. ncbi Evaluating the informatics for integrating biology and the bedside system for clinical research
    Vikrant G Deshmukh
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA
    BMC Med Res Methodol 9:70. 2009
    ..We describe the evaluation of a free and open source cohort selection tool from the Informatics for Integrating Biology and the Bedside (i2b2) group: the i2b2 hive...
  2. ncbi 50 years of informatics research on decision support: what's next
    J A Mitchell
    The University of Utah, Department of Biomedical Informatics, 26 South 2000 East, HSEB 5700, Salt Lake City, UT 84112 5750, USA
    Methods Inf Med 50:525-35. 2011
    ..To highlight the new challenges posed by the complexity and diversity of genomic and clinical domains. To examine the emerging paradigms for supporting cost-effective, personalized decision making...
  3. ncbi Challenges and strategies of the Genetics Home Reference
    Joyce A Mitchell
    Department of Medical Informatics, University of Utah, Salt Lake City, Utah, USA
    J Med Libr Assoc 94:336-42. 2006
    ..ghr.nlm.nih.gov> for the general public that helps to explain the health implications of findings from the Human Genome Project...
  4. ncbi Effectiveness of topic-specific infobuttons: a randomized controlled trial
    Guilherme Del Fiol
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
    J Am Med Inform Assoc 15:752-9. 2008
    ..The objective of this study was to determine whether infobutton links that direct to specific content topics ("topic links") are more effective than links that point to general overview content ("nonspecific links")...
  5. ncbi Efficiency of CYP2C9 genetic test representation for automated pharmacogenetic decision support
    Vikrant G Deshmukh
    University of Utah, School of Medicine, Department of Biomedical Informatics, Salt Lake City, UT 84112, USA
    Methods Inf Med 48:282-90. 2009
    ....
  6. ncbi Using information prescriptions to refer patients with metabolic conditions to the Genetics Home Reference website
    Denise E Beaudoin
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA
    J Med Libr Assoc 99:70-6. 2011
    ....
  7. ncbi How well does family history predict who will get colorectal cancer? Implications for cancer screening and counseling
    David P Taylor
    Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah 84112 5750, USA
    Genet Med 13:385-91. 2011
    ..Using a large, retrospective cohort from the Utah Population Database, we assess how well family history predicts who will acquire colorectal cancer during a 20-year period...
  8. ncbi Comparison of compliance for colorectal cancer screening and surveillance by colonoscopy based on risk
    David P Taylor
    Department of Biomedical Informatics, University of Utah, School of Medicine, Salt Lake City, Utah 84112 5750, USA
    Genet Med 13:737-43. 2011
    ..To compare colonoscopy screening/surveillance rates by level of risk for colorectal cancer based on age, personal history of adenomatous polyps or colorectal cancer, or family history of colorectal cancer...
  9. ncbi Integrating historical clinical and financial data for pharmacological research
    Vikrant G Deshmukh
    Department of Biomedical Informatics, School of Medicine, University of Utah, 26 South 2000 East Room 5775, Salt Lake City, UT 84112, USA
    BMC Med Res Methodol 11:151. 2011
    ..We examined different approaches for semantic enrichment of financial data with CMT, and integration of clinical data from disparate historical and current sources for research...
  10. ncbi 'Genetics home reference': helping patients understand the role of genetics in health and disease
    Cathy Fomous
    National Library of Medicine, Bethesda, MD20894, USA
    Community Genet 9:274-8. 2006
    ..This design strategy enhances the user's appreciation of how genes, chromosomes, and conditions are interrelated...
  11. ncbi Design of Genetics Home Reference: a new NLM consumer health resource
    Joyce A Mitchell
    Department of Health Management and Informatics, University of Missouri, Columbia, MO 65211, USA
    J Am Med Inform Assoc 11:439-47. 2004
    ..As knowledge of genetics expands, the interrelationships between genes and diseases will continue to unfold, and the site will reflect these developments...
  12. ncbi Evaluation of WordNet as a source of lay knowledge for molecular biology and genetic diseases: a feasibility study
    Olivier Bodenreider
    University of Rennes I, France
    Stud Health Technol Inform 95:379-84. 2003
    ..This paper evaluates whether concepts needed for molecular biology and genetic diseases are present in WordNet, the electronic lexical database...