Informatics Needs and Challenges in Cancer Research Workshop Summary (2012) / Chapter Skim
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1 Introduction
1 Introduction
Pages 1-6
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Note that caBIG and Cancer Biomedical Informatics Grid are registered trademarks. 2Biomedical informatics has been defined as the science that develops methods, tech niques, and theories regarding how to use data, information, and knowledge to support and improve biomedical research, human health, and the delivery of health care services (http:// www.amia.org/glossary)
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John Mendelsohn, co-director of the Khalifa Institute for Personalized Cancer Therapy at the University of Texas M.D. Anderson Cancer Center and chair of the IOM's National Cancer Policy Forum, stressed that informatics is much more than electronic health care records.
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The clinical translational research process could be advanced by · bringing routinely gathered clinical data up to the same stan dards as high-quality research data; · developing new statistical methods and study designs for use with clinical data; · developing better data mining and filtering approaches to sort through massive datasets; · connecting genomic and molecular data with clinical data; · structuring clinical data appropriately to support research; · integrating data that are already in the public domain to gener ate new hypotheses for testing; · ensuring that these processes are guided in a way that is com patible with a research framework; and · using a systems view of disease, which postulates that disease is the result of perturbation of one or more biological networks that leads to altered expression of information, to address the complexity of biology. continued
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As introduced by Sharon Murphy, scholar-in-residence at the IOM, the workshop was organized into three main panel sessions. The first panel session provided an overview of the informatics landscape and framed the issues from a variety of stakeholder perspectives, including clinical and translational research, epidemiology and biostatistics, major cancer centers, and cancer cooperative groups (Chapter 2)
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Importance of health information technology, electronic health records and continuously aggregating data to comparative effectiveness research and learning health care. Journal of Clinical Oncology.
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