Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8785047 | Advances in Radiation Oncology | 2016 | 21 Pages |
Abstract
Although large volumes of information are entered into our electronic health care records, radiation oncology information systems and treatment planning systems on a daily basis, the goal of extracting and using this big data has been slow to emerge. Development of strategies to meet this goal is aided by examining issues with a data farming instead of a data mining conceptualization. Using this model, a vision of key data elements, clinical process changes, technology issues and solutions, and role for professional societies is presented. With a better view of technology, process and standardization factors, definition and prioritization of efforts can be more effectively directed.
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Authors
Charles S. PhD, Marc L. PhD, Avraham MD, Grant BS, Mary MD, James A. MD, Shruti MD, Issam PhD, Jean M. PhD, Martha M. PhD, Carlos J. PhD, Lynn P. BS, Daniel L. PhD, Sue M. MSA RT(R)(T), Sherry L. MBA RT(T), Theodore S. MD PhD, Randall K. PhD,