title: Big Data and the Future of Radiology Informatics.
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.
authors.affiliation: Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Blvd., Campus Box 8131, Saint Louis, MO 63110. Electronic address: apkansagra@gmail.com.
authors.forename: Akash P
authors.initials: AP
authors.lastname: Kansagra
authors.affiliation: Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
authors.forename: John-Paul J
authors.initials: JP
authors.lastname: Yu
authors.affiliation: Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Blvd., Campus Box 8131, Saint Louis, MO 63110.
authors.forename: Arindam R
authors.initials: AR
authors.lastname: Chatterjee
authors.affiliation: Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
authors.forename: Leon
authors.initials: L
authors.lastname: Lenchik
authors.affiliation: Department of Radiology, Columbia University Medical Center, New York, New York.
authors.forename: Daniel S
authors.initials: DS
authors.lastname: Chow
authors.affiliation: Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia.
authors.forename: Adam B
authors.initials: AB
authors.lastname: Prater
authors.affiliation: Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
authors.forename: Jean
authors.initials: J
authors.lastname: Yeh
authors.affiliation: Department of Radiology, NYU Langone Medical Center, New York, New York.
authors.forename: Ankur M
authors.initials: AM
authors.lastname: Doshi
authors.affiliation: Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia.
authors.forename: C Matthew
authors.initials: CM
authors.lastname: Hawkins
authors.affiliation: Department of Radiology, University of Utah School of Medicine, Salt Lake City, Utah.
authors.forename: Marta E
authors.initials: ME
authors.lastname: Heilbrun
authors.affiliation: Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
authors.forename: Stacy E
authors.initials: SE
authors.lastname: Smith
authors.affiliation: Department of Radiology, Maimonides Medical Center, Brooklyn, New York.
authors.forename: Martin
authors.initials: M
authors.lastname: Oselkin
authors.affiliation: Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
authors.forename: Pushpender
authors.initials: P
authors.lastname: Gupta
authors.affiliation: Department of Radiology, Temple University School of Medicine, Philadelphia, Pennsylvania.
authors.forename: Sayed
authors.initials: S
authors.lastname: Ali
mesh_terms: D003365:Costs and Cost Analysis; D003952:Diagnostic Imaging / Q000191:economics / Q000639:trends; D005544:Forecasting; D006801:Humans; D033181:Information Dissemination; D057285:Precision Medicine / Q000191:economics / Q000639:trends; D011364:Professional Practice; D011871:Radiology / Q000191:economics / Q000639:trends*; D011872:Radiology Department, Hospital / Q000191:economics / Q000639:trends; D011873:Radiology Information Systems / Q000191:economics / Q000639:trends*; D057188:Workflow
keywords: Radiology; informatics; personalized medicine; value; workflow