Authors: | Matuszak, M. M.; Fuller, C. D.; Yock, T. I.; Hess, C. B.; McNutt, T.; Jolly, S.; Gabriel, P.; Mayo, C. S.; Thor, M.; Caissie, A.; Rao, A.; Owen, D.; Smith, W.; Palta, J.; Kapoor, R.; Hayman, J.; Waddle, M.; Rosenstein, B.; Miller, R.; Choi, S.; Moreno, A.; Herman, J.; Feng, M. |
Article Title: | Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology |
Abstract: | It is an exciting time for big data efforts in radiation oncology. The use of big data to help aid both outcomes and decision-making research is becoming a reality. However, there are true challenges that exist in the space of gathering and utilizing performance and outcomes data. Here, we summarize the current state of big data in radiation oncology with respect to outcomes and discuss some of the efforts and challenges in radiation oncology big data. © 2018 American Association of Physicists in Medicine |
Keywords: | radiation oncology; physician; outcomes; performance; challenges; human; article; big data |
Journal Title: | Medical Physics |
Volume: | 45 |
Issue: | 10 |
ISSN: | 0094-2405 |
Publisher: | American Association of Physicists in Medicine |
Date Published: | 2018-10-01 |
Start Page: | e811 |
End Page: | e819 |
Language: | English |
DOI: | 10.1002/mp.13136 |
PROVIDER: | scopus |
PUBMED: | 30229946 |
PMCID: | PMC6679351 |
DOI/URL: | |
Notes: | Conference Paper -- Export Date: 1 November 2018 -- Source: Scopus |