title: Bits and bytes: the future of radiology lies in informatics and information technology.
abstract: Advances in informatics and information technology are sure to alter the practice of medical imaging and image-guided therapies substantially over the next decade. Each element of the imaging continuum will be affected by substantial increases in computing capacity coincident with the seamless integration of digital technology into our society at large. This article focuses primarily on areas where this IT transformation is likely to have a profound effect on the practice of radiology.
  
  
  CONCLUSIONS
  • Clinical decision support ensures consistent and appropriate resource utilization. • Big data enables correlation of health information across multiple domains. • Data mining advances the quality of medical decision-making. • Business analytics allow radiologists to maximize the benefits of imaging resources.
authors.affiliation: Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA. jabrink@partners.org.
authors.forename: James A
authors.initials: JA
authors.lastname: Brink
authors.affiliation: UCSF Medical Center, 505 Parnassus Avenue, #391, San Francisco, CA, 94143, USA.
authors.forename: Ronald L
authors.initials: RL
authors.lastname: Arenson
authors.affiliation: Department of Radiology, University of Wisconsin School of Medicine & Public Health, 600 Highland Avenue, E3/366 Clinical Science Center, Madison, WI, 53792-3252, USA.
authors.forename: Thomas M
authors.initials: TM
authors.lastname: Grist
authors.affiliation: Emory Healthcare, 1440 Clifton Road NE, Ste 400, Atlanta, GA, 30322, USA.
authors.forename: Jonathan S
authors.initials: JS
authors.lastname: Lewin
authors.affiliation: Department of Radiological Sciences, UCLA Medical Center, 924 Westwood Blvd., Ste. 805, Los Angeles, CA, 90095, USA.
authors.forename: Dieter
authors.initials: D
authors.lastname: Enzmann
mesh_terms: D000066491:Clinical Decision-Making / Q000379:methods; D057225:Data Mining / Q000379:methods / Q000639:trends; D020000:Decision Support Systems, Clinical / Q000639:trends; D006801:Humans; D000073256:Information Technology / Q000639:trends; D020407:Internet / Q000639:trends; D008490:Medical Informatics / Q000639:trends; D011871:Radiology / Q000639:trends*; D011873:Radiology Information Systems / Q000639:trends*
keywords: Artificial intelligence; Clinical decision support; Data mining; Information technology; Medical informatics