Program Information

Big Data in Radiation Oncology

S Benedict¹, L Xing², T McNutt³*, (1) UC Davis Cancer Center, Sacramento, CA, (2) Stanford University School of Medicine, Stanford, CA, (3) Johns Hopkins University, Severna Park, MD

Presentations

4:30 PM : Overview of the ASTRO-NIH-AAPM 2015 Workshop on Exploring Opportunities for Radiation Oncology in the Era of Big Data - S Benedict, Presenting Author
5:00 PM : Where do we stand in the applications of big data in radiation oncology? - L Xing, Presenting Author
5:30 PM : Learning Health Systems for Radiation Oncology: Needs and Challenges for Future Success - T McNutt, Presenting Author

WE-H-BRB-0 (Wednesday, August 3, 2016) 4:30 PM - 6:00 PM Room: Ballroom B

Big Data in Radiation Oncology: (1) Overview of the NIH 2015 Big Data Workshop, (2) Where do we stand in the applications of big data in radiation oncology?, and (3) Learning Health Systems for Radiation Oncology: Needs and Challenges for Future Success

The overriding goal of this trio panel of presentations is to improve awareness of the wide ranging opportunities for big data impact on patient quality care and enhancing potential for research and collaboration opportunities with NIH and a host of new big data initiatives.
This presentation will also summarize the Big Data workshop that was held at the NIH Campus on August 13-14, 2015 and sponsored by AAPM, ASTRO, and NIH. The workshop included discussion of current Big Data cancer registry initiatives, safety and incident reporting systems, and other strategies that will have the greatest impact on radiation oncology research, quality assurance, safety, and outcomes analysis.

Learning Objectives:
1.To discuss current and future sources of big data for use in radiation oncology research
2.To optimize our current data collection by adopting new strategies from outside radiation oncology
3.To determine what new knowledge big data can provide for clinical decision support for personalized medicine

Funding Support, Disclosures, and Conflict of Interest: L. Xing, NIH/NCI Google Inc.

Handouts

115-31831-387514-118320.pdf (S Benedict)

115-31832-387514-118564.pdf (L Xing)

115-31833-387514-118520.pdf (T McNutt)

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