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The big data effort in radiation oncology: Data mining or data farming?

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 ai...

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Detalles Bibliográficos
Autores principales: Mayo, Charles S., Kessler, Marc L., Eisbruch, Avraham, Weyburne, Grant, Feng, Mary, Hayman, James A., Jolly, Shruti, El Naqa, Issam, Moran, Jean M., Matuszak, Martha M., Anderson, Carlos J., Holevinski, Lynn P., McShan, Daniel L., Merkel, Sue M., Machnak, Sherry L., Lawrence, Theodore S., Ten Haken, Randall K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514231/
https://www.ncbi.nlm.nih.gov/pubmed/28740896
http://dx.doi.org/10.1016/j.adro.2016.10.001
Descripción
Sumario: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.