title: Big data: Are large prospective randomized trials obsolete in the future?
abstract: Big data represents a new opportunity to increase our understanding of cancer care as it is practiced globally and to improve it through the refinement of clinic guidelines and the identification of knowledge gaps. Here we review the historical approach to evidence development (randomized clinical trials), some of their limitations, and the complementary role that big data analytics may play.
authors.affiliation: Memorial Sloan Kettering Cancer Center, United States; Weill Cornell Medical College, United States. Electronic address: hudisc@mskcc.org.
authors.forename: Clifford A
authors.initials: CA
authors.lastname: Hudis
mesh_terms: D001943:Breast Neoplasms / Q000628:therapy*; D003625:Data Collection / Q000379:methods*; D057286:Electronic Health Records; D005260:Female; D006801:Humans; D008490:Medical Informatics; D016032:Randomized Controlled Trials as Topic
keywords: Big data; Cancer; Clinical trials