Big Data Defined: A Practical Review for Neurosurgeons.
Publication/Presentation Date
1-1-2020
Abstract
BACKGROUND: Modern science and healthcare generate vast amounts of data, and, coupled with the increasingly inexpensive and accessible computing, a tremendous opportunity exists to use these data to improve care. A better understanding of data science and its relationship to neurosurgical practice will be increasingly important as we transition into this modern "big data" era.
METHODS: A review of the literature was performed for key articles referencing big data for neurosurgical care or related topics.
RESULTS: In the present report, we first defined the nature and scope of data science from a technical perspective. We then discussed its relationship to the modern neurosurgical practice, highlighting key references, which might form a useful introductory reading list.
CONCLUSIONS: Numerous challenges exist going forward; however, organized neurosurgery has an important role in fostering and facilitating these efforts to merge data science with neurosurgical practice.
Volume
133
First Page
842
Last Page
842
ISSN
1878-8769
Published In/Presented At
Bydon, M., Schirmer, C. M., Oermann, E. K., Kitagawa, R. S., Pouratian, N., Davies, J., Sharan, A., & Chambless, L. B. (2020). Big Data Defined: A Practical Review for Neurosurgeons. World neurosurgery, 133, e842–e849. https://doi.org/10.1016/j.wneu.2019.09.092
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
31562965
Department(s)
Administration and Leadership
Document Type
Article