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Case-oriented computer-based-training in radiology: concept, implementation and evaluation

Authors
  • Dugas, Martin1
  • Trumm, Christoph2
  • Stäbler, Axel2
  • Pander, Ernst2
  • Hundt, Walter2
  • Scheidler, Jurgen2
  • Brüning, Roland2
  • Helmberger, Thomas2
  • Waggershauser, Tobias2
  • Matzko, Matthias2
  • Reiser, Maximillian2
  • 1 University of Munich, Department of Medical Informatics, Biometrics and Epidemiology (IBE) (Chairman: Prof. Dr. med. K. Überia), Marchioninistr. 15, Munich, D-81377, Germany , Munich (Germany)
  • 2 University of Munich, Department of Clinical Radiology (Chairman: Prof. Dr. med. M. Reiser), Germany , (Germany)
Type
Published Article
Journal
BMC Medical Education
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Oct 19, 2001
Volume
1
Issue
1
Identifiers
DOI: 10.1186/1472-6920-1-5
Source
Springer Nature
Keywords
License
Yellow

Abstract

BackgroundProviding high-quality clinical cases is important for teaching radiology. We developed, implemented and evaluated a program for a university hospital to support this task.MethodsThe system was built with Intranet technology and connected to the Picture Archiving and Communications System (PACS). It contains cases for every user group from students to attendants and is structured according to the ACR-code (American College of Radiology) [2]. Each department member was given an individual account, could gather his teaching cases and put the completed cases into the common database.ResultsDuring 18 months 583 cases containing 4136 images involving all radiological techniques were compiled and 350 cases put into the common case repository. Workflow integration as well as individual interest influenced the personal efforts to participate but an increasing number of cases and minor modifications of the program improved user acceptance continuously. 101 students went through an evaluation which showed a high level of acceptance and a special interest in elaborate documentation.ConclusionElectronic access to reference cases for all department members anytime anywhere is feasible. Critical success factors are workflow integration, reliability, efficient retrieval strategies and incentives for case authoring.

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