title: Images of imaging: how to process and display imaging utilization for large populations.
abstract: OBJECTIVE
  We propose a method of processing and displaying imaging utilization data for large populations.
  
  
  CONCLUSIONS
  The comprehensive and finely grained picture of imaging utilization yielded by our methods is a first step toward population-based imaging utilization management. We believe that our methods for the categorization and display of imaging utilization will prove to be widely useful.
authors: 1 Department of Radiology, University of Florida Health Center, PO Box 100374, Gainesville, FL 32610-0374.
authors: Chris L
authors: CL
authors: Sistrom
authors: Keith
authors: K
authors: Dreyer
authors: Jeffrey B
authors: JB
authors: Weilburg
authors: Jennifer N
authors: JN
authors: Perloff
authors: Christopher P
authors: CP
authors: Tompkins
authors: Timothy G
authors: TG
authors: Ferris
mesh_terms: D039702:Current Procedural Terminology; D003626:Data Display / Q000639:trends*; D003952:Diagnostic Imaging / Q000191:economics / Q000706:statistics & numerical data*; D006302:Health Services Research; D006801:Humans; D008491:Medical Informatics Applications; D016345:Medicare Part B / Q000191:economics; D012984:Software; D014481:United States
keywords: Medicare; big data; geocoding; health services research; imaging cost; imaging utilization; informatics; regional variation; visual analytics