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Digitales Lehrarchiv

Konzept, Implementation und Erfahrungen im universitären Umfeld

Digital teaching file

Concept, implementation, and experiences in a university setting

  • Leitthema: EDV-Systeme in der Radiologie
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Zusammenfassung

Ein filmbasiertes radiologisches Lehrarchiv erfordert einen hohen personellen, logistischen und finanziellen Aufwand. Die Verbindung von Computer- und Netzwerktechnologie erlaubt mittlerweile die sog. „Workflowintegration“ der Verbreitung radiologischer Lehrfälle innerhalb einer Institution (Intranet) oder im World Wide Web (Internet).

Ein digitales Lehrarchiv (DLA) sollte mehrere Grundfunktionen erfüllen: Import von verschiedenen digitalen Bildquellen und -formaten, Editieren von importierten Bildern, einheitliche Fallklassifizierung, Qualitätskontrolle (Peer Review), kontrollierter Zugang von Mitarbeitern/externen Benutzern sowie eine effiziente Retrievalstrategie. Das Bildformat PNG (Portable Network Graphics) ist für den Einsatz in DLA durch vollen Pixelsupport, 2D-Interlacing, Gammakorrektur und verlustfreie Kompression besonders geeignet. Der ACR-Code (American College of Radiology) eignet sich aufgrund seiner hierarchischen Struktur als Klassifizierungssystem für DLA.

In zahlreichen Publikationen werden radiologische Anwendungen von Computer-Based Training (CBT) beschrieben, von der Ergänzung traditioneller Lernmethoden bis zur zertifizierten Fortbildung über das WWW. Die Attraktivität einer CBT-Applikation kann durch Einbindung graphischer oder interaktiver Elemente erhöht werden, erschwert jedoch die Workflowintegration der täglichen Falleingabe in ein DLA. Unser DLA wurde mit etablierten Internetinstrumenten erstellt und in eine heterogene PACS-/RIS-Umgebung (PACS: Picture Archiving and Communication System, RIS: Radiologisches Informationsystem) integriert. Es ermöglicht einen einfachen Bildtransfer (DICOM_Send; DICOM: Digital Imaging and Communication in Medicine) vom radiologischen Befundarbeitsplatz und im Intranet des Universitätsklinikums einen zeit- und ortsunabhängigen Zugriff auf die Lehrarchivapplikation über Standardwebbrowser.

Ein DLA bildet einen kleinen, aber wichtigen Baustein einer Gesamtstrategie von „knowledge management“ in einem radiologischen Institut.

Abstract

Film-based teaching files require a substantial investment in human, logistic, and financial resources. The combination of computer and network technology facilitates the workflow integration of distributing radiologic teaching cases within an institution (intranet) or via the World Wide Web (Internet).

A digital teaching file (DTF) should include the following basic functions: image import from different sources and of different formats, editing of imported images, uniform case classification, quality control (peer review), a controlled access of different user groups (in-house and external), and an efficient retrieval strategy. The portable network graphics image format (PNG) is especially suitable for DTFs because of several features: pixel support, 2D-interlacing, gamma correction, and lossless compression. The American College of Radiology (ACR) “Index for Radiological Diagnoses” is hierarchically organized and thus an ideal classification system for a DTF.

Computer-based training (CBT) in radiology is described in numerous publications, from supplementing traditional learning methods to certified education via the Internet. Attractiveness of a CBT application can be increased by integration of graphical and interactive elements but makes workflow integration of daily case input more difficult. Our DTF was built with established Internet instruments and integrated into a heterogeneous PACS/RIS environment. It facilitates a quick transfer (DICOM_Send) of selected images at the time of interpretation to the DTF and access to the DTF application at any time anywhere within the university hospital intranet employing a standard web browser.

A DTF is a small but important building block in an institutional strategy of knowledge management.

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Authors and Affiliations

  1. Institut für Klinische Radiologie, Klinikum Großhadern der Ludwig-Maximilians-Universität München

    C. Trumm, S. Wirth, M. Treitl, A. Lucke, B. Küttner, E. Pander, D.-A. Clevert, C. Glaser & M. Reiser

  2. Institut für Medizinische Informationsverarbeitung, Biometrie und Epidemiologie, Ludwig-Maximilians-Universität München

    M. Dugas

  3. Institut für Klinische Radiologie, Klinikum Großhadern der Ludwig-Maximilians-Universität, Marchioninistraße 15, 81377 , München

    C. Trumm

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  1. C. Trumm
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Trumm, C., Dugas, M., Wirth, S. et al. Digitales Lehrarchiv. Radiologe 45, 724–734 (2005). https://doi.org/10.1007/s00117-005-1239-5

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