Utilizing Big Data in Cancer Care

Surg Oncol Clin N Am. 2018 Oct;27(4):641-652. doi: 10.1016/j.soc.2018.05.005. Epub 2018 Jul 23.

Abstract

Clinical research has boomed over the past decade, with the development of multiple clinical datasets that are available for retrospective review. However, data remain incomplete based on fragmented reporting, provider change, and loss of follow-up. New technologies are being developed to assist with this limitation, by joining health care systems' medical records, and tracking Medicare claims files. The future of health care will rely more heavily on these systems, and artificial intelligence to quickly pull relevant clinical and genomic data regarding particular diagnoses, as a means to personalize medicine. This article reviews current advances in management of Big Data.

Keywords: Big data; Clinical databases; Electronic health records; Oncologic outcomes.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence*
  • Computational Biology / methods
  • Data Mining / methods*
  • Databases, Factual*
  • Electronic Health Records
  • Humans
  • Neoplasms / therapy*
  • Patient-Centered Care / standards*
  • Precision Medicine*