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.
Original language | English (US) |
---|---|
Pages (from-to) | 641-652 |
Number of pages | 12 |
Journal | Surgical Oncology Clinics of North America |
Volume | 27 |
Issue number | 4 |
DOIs | |
State | Published - Oct 2018 |
Keywords
- Big data
- Clinical databases
- Electronic health records
- Oncologic outcomes
ASJC Scopus subject areas
- Oncology
- Surgery