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

Author:

Matuszak Martha M.1,Fuller Clifton D.2,Yock Torunn I.3,Hess Clayton B.3,McNutt Todd4,Jolly Shruti1,Gabriel Peter5,Mayo Charles S.1,Thor Maria6,Caissie Amanda7,Rao Arvind1,Owen Dawn1,Smith Wade8,Palta Jatinder9,Kapoor Rishabh9,Hayman James1,Waddle Mark10,Rosenstein Barry11,Miller Robert10,Choi Seungtaek2,Moreno Amy2,Herman Joseph2,Feng Mary12

Affiliation:

1. University of Michigan; Ann Arbor MI USA

2. MD Anderson Cancer Center; Houston TX USA

3. Massachusetts General Hospital; Boston MA USA

4. Johns Hopkins University; Baltimore MD USA

5. University of Pennsylvania; Philadelphia PA USA

6. Memorial Sloan Kettering Cancer Center; New York NY USA

7. Dalhousie University; Halifax NS Canada

8. University of Washington; Seattle WA USA

9. Virginia Commonwealth University; Richmond VA USA

10. Mayo Clinic; Jacksonville FL USA

11. Icahn School of Medicine at Mount Sinai; New York NY USA

12. University of California at San Francisco; San Francisco CA USA

Publisher

Wiley

Subject

General Medicine

Reference31 articles.

1. The big data effort in radiation oncology: data mining or data farming?;Mayo;Adv Radiat Oncol,2016

2. AAPM Task Group 263: tackling standardization of nomenclature for radiation therapy;Mayo;Int J Radiat Oncol Biol Phys,2015

3. Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT;Deist;Clin Transl Radiat Oncol,2017

4. The pediatric proton consortium registry: a multi-institutional collaboration in U.S. Proton centers;Kasper;Int J Part Ther,2014

5. McNutt T Wong J Purdy J Valicenti R DeWeese T OncoSpace: A New Paradigm for Clinical Research and Decision Support in Radiation Oncology Proceedings of the XVIth International Conference on the Use of Computers in Radiation Therapy, Amsterdam, 2010

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