How Big Data, Comparative Effectiveness Research, and Rapid-Learning Health-Care Systems Can Transform Patient Care in Radiation Oncology

Big data and comparative effectiveness research methodologies can be applied within the framework of a rapid-learning health-care system (RLHCS) to accelerate discovery and to help turn the dream of fully personalized medicine into a reality. We synthesize recent advances in genomics with trends in...

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Bibliographic Details
Published in:Frontiers in oncology 2018-05, Vol.8, p.155-155
Main Authors: Sanders, Jason C, Showalter, Timothy N
Format: Article
Language:English
Subjects:
big data
comparative effectiveness research
Oncology
personalized radiation therapy
radiation oncology
rapid-learning health care system
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Summary:Big data and comparative effectiveness research methodologies can be applied within the framework of a rapid-learning health-care system (RLHCS) to accelerate discovery and to help turn the dream of fully personalized medicine into a reality. We synthesize recent advances in genomics with trends in big data to provide a forward-looking perspective on the potential of new advances to usher in an era of personalized radiation therapy, with emphases on the power of RLHCS to accelerate discovery and the future of individualized radiation treatment planning.
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2018.00155