Big Data and the Future of Radiology Informatics.
Publication/Presentation Date
1-1-2016
Abstract
Rapid growth in the amount of data that is electronically recorded as part of routine clinical operations has generated great interest in the use of Big Data methodologies to address clinical and research questions. These methods can efficiently analyze and deliver insights from high-volume, high-variety, and high-growth rate datasets generated across the continuum of care, thereby forgoing the time, cost, and effort of more focused and controlled hypothesis-driven research. By virtue of an existing robust information technology infrastructure and years of archived digital data, radiology departments are particularly well positioned to take advantage of emerging Big Data techniques. In this review, we describe four areas in which Big Data is poised to have an immediate impact on radiology practice, research, and operations. In addition, we provide an overview of the Big Data adoption cycle and describe how academic radiology departments can promote Big Data development.
Volume
23
Issue
1
First Page
30
Last Page
42
ISSN
1878-4046
Published In/Presented At
Kansagra, A. P., Yu, J. P., Chatterjee, A. R., Lenchik, L., Chow, D. S., Prater, A. B., Yeh, J., Doshi, A. M., Hawkins, C. M., Heilbrun, M. E., Smith, S. E., Oselkin, M., Gupta, P., & Ali, S. (2016). Big Data and the Future of Radiology Informatics. Academic radiology, 23(1), 30–42. https://doi.org/10.1016/j.acra.2015.10.004
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
26683510
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article