Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology

Martha M. Matuszak, Clifton D. Fuller, Torunn I. Yock, Clayton B. Hess, Todd McNutt, Shruti Jolly, Peter Gabriel, Charles S. Mayo, Maria Thor, Amanda Caissie, Arvind Rao, Dawn Owen, Wade Smith, Jatinder Palta, Rishabh Kapoor, James Hayman, Mark Waddle, Barry Rosenstein, Robert Miller, Seungtaek ChoiAmy Moreno, Joseph Herman, Mary Feng

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)e811-e819
JournalMedical physics
Volume45
Issue number10
DOIs
StatePublished - Oct 2018

Keywords

  • big data
  • challenges
  • outcomes
  • performance
  • physician
  • radiation oncology

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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