Advertisement

Journal of Digital Imaging

, Volume 14, Supplement 1, pp 131–134 | Cite as

An academic radiology information system (RIS): A review of the commercial RIS systems, and how an individualized academic RIS can be created and utilized

  • Eric P. Tamm
  • Akira Kawashima
  • Paul Silverman
Session 7: Evaluation of Systems and Workflow
  • 67 Downloads

Abstract

Current commercial radiology information systems (RIS) are designed for scheduling, billing, charge collection, and report dissemination. Academic institutions have additional requirements for their missions for teaching, research and clinical care. The newest versions of commercial RIS offer greater flexibility than prior systems. We sent questionnaires to Cerner Corporation, ADAC Health Care Information Systems, IDX Systems, Per-Se’ Technologies, and Siemens Health Services regarding features of their products. All of the products we surveyed offer user customizable fields. However, most products did not allow the user to expand their product’s data table. The search capabilities of the products varied. All of the products supported the Health Level 7 (HL-7) interface and the use of structured query language (SQL). All of the products were offered with an SQL editor for creating customized queries and custom reports. All products included capabilities for collecting data for quality assurance and included capabilities for tracking “interesting cases,” though they varied in the functionality offered. No product offered dedicated functions for research. Alternatively, radiology departments can create their own client-server Windows-based database systems to supplement the capabilities of commercial systems. Such systems can be developed with “web-enabled” database products like Microsoft Access or Apple Filemaker Pro.

Keywords

Radiology Information System Structure Query Language Phrase Search Database Solution Structure Query Language Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Society for Imaging Informatics in Medicine 2001

Authors and Affiliations

  • Eric P. Tamm
    • 2
    • 1
  • Akira Kawashima
    • 2
    • 1
  • Paul Silverman
    • 2
    • 1
  1. 1.Department of RadiologyMayo ClinicRochester
  2. 2.Department of Diagnostic ImagingM.D. Anderson Cancer CenterHouston

Personalised recommendations