Learning from routinely produced clinical data and Big Data technology in Radiation Oncology

Research output: ThesisDoctoral ThesisExternal prepared

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Abstract

Healthcare is becoming more expensive, more complex and more personalised. Efficient and faster research is necessary to in order to continue to develop scalable innovations. The studies in this dissertation focus on the meaningful reuse of clinical data in radiation oncology. Information must be stored more intelligently so that big data technology can be used to solve concrete problems in practice. Not only is this possible, the results prove that this method is a valuable addition to traditional research through clinical trials.
Original languageEnglish
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Dekker, Andre, Supervisor
  • Verhaegen, Frank, Supervisor
Award date6 Dec 2018
Place of PublicationMaastricht
Publisher
Print ISBNs9789463800693
DOIs
Publication statusPublished - 2018

Keywords

  • scalable innovations
  • reuse of clinical data
  • radiation therapy
  • oncology
  • big data technology
  • clinical trials

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