title: Enterprise utilization of "always on-line" diagnostic study archive.
abstract: To meet demands for enterprise image distribution, an "always on-line" image storage archive architecture was implemented before soft copy interpretation. It was presumed that instant availability of historical diagnostic studies would elicit a substantial utilization. Beginning November 1, 2000 an enterprise distribution archive was activated (Stentor, SanFrancisco, CA). As of August 8, 2001, 83,052 studies were available for immediate access without the need for retrieval from long-term archive. Image storage and retrieval logs for the period from June 12, 2001 to August 8, 2001 were analyzed. A total of 41,337 retrieval requests were noted for the 83,052 studies available as August 8, 2001. Computed radiography represented 16.8% of retrieval requests; digital radiography, 16.9%; computed tomography (CT), 44.5%; magnetic resonance (MR), 19.2%; and ultrasonography, 2.6%. A total of 51.5% of study retrievals were for studies less than 72 hours old. Study requests for cases greater than 100 days old represented 9.9% of all accessions, 9.7% of CT accessions, and 15.4% of MR accessions. Utilization of the archive indicates a substantial proportion of study retrievals for studies less than 72 hours after study completion. However, significant interest in historical CT and MR examinations was shown.
authors.affiliation: Diagnostic Imaging Informatics, Division of Diagnostic Imaging, University of Texas, M.D. Anderson Cancer Center, Houston 77030, USA. kmcenery@mdanderson.org
authors.forename: Kevin W
authors.initials: KW
authors.lastname: McEnery
authors.forename: Charles T
authors.initials: CT
authors.lastname: Suitor
authors.forename: Stephen K
authors.initials: SK
authors.lastname: Thompson
authors.forename: Jeffrey S
authors.initials: JS
authors.lastname: Shepard
authors.forename: William A
authors.initials: WA
authors.lastname: Murphy
mesh_terms: D009862:Online Systems / Q000706:statistics & numerical data*; D011873:Radiology Information Systems / Q000706:statistics & numerical data*