Multimedia Lectures for Visually Oriented Medical Disciplines

  • Jürgen Albert
  • Holger Höhn
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2598)


Many scientific disciplines with an intrinsically high degree of multimedia content can be found among the life-sciences. Among the various faculties of medicine, especially dermatology is renowned for extensive use of clinical images in lectures and in textbooks. Training the “diagnostic eye” is an important part of the medical education. Furthermore, large collections of images, traditionally organized in numerous cabinets of slides, can be maintained and distributed a lot easier when their digitized counterparts are stored in an image database on some PC in the clinic’s network. Thus, ideal conditions should hold for introduction of computer-based multimedia-lectures for dermatology and the distribution of teaching material on CD-ROMs or over the World Wide Web. This paper gives an account of an interdisciplinary multimedia project of three dermatology departments, an institute for medical psychology and our chair. Since most of the implemented tools have been field-tested in recent semesters, we also can report about usability and acceptance among lecturers and students.


Learning Object Resource Description Framework Multiple Choice Question Dermatological Disease Image Archive 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 3.
    DEJAVU-Dermatological Education as Joint Accomplishment of Virtual Universities,
  2. 4.
    Höhn, H.: Multimediale, datenbankgestützte Lehr-und Lernplattformen, Dissertation, Lehrstuhl für Informatik II, Universität Würzburg (2002)Google Scholar
  3. 5.
    Höhn H.: Combining Image Archives, Audio-and Video-Sequences for Teleteaching Lectures on Dermatology, 2nd European Symposium on Teledermatology, Zurich (2000)Google Scholar
  4. 6.
    Höhn H.: Digital aufbereitete Vorlesungen in der Dermatologie, Biomedical Journal, 56 (2000) 27–29Google Scholar
  5. 7.
    Höhn H., Esser W., Hamm H., Albert J.: Image archives, audio-and video-sequences for teleteaching. In Burg G. et al (Eds.): Current Problems Series: Telemedicine Teledermatology, Karger-Publisher Basel, 32 (2002) 192–195Google Scholar
  6. 9.
    Schmoeckel, Chr.: CD Klinische Dermatologie, Lexikon und Differentialdiagnose, Georg Thieme Verlag, Stuttgart (1997)Google Scholar
  7. 10.
    Blaschek W., Ebel S., Hackenthal E., Holzgrabe U., Keller K., Reichling J.: HagerROM 2002, Springer-Verlag, Heidelberg (2002)Google Scholar
  8. 11.
    Henseler T., Kreusch J., Tausch I. (Eds.): Dermatologischer Diagnosenkatalog, Georg Thieme Verlag, Stuttgart (1996)Google Scholar
  9. 12.
    Toppe, E.: GK 3 Dermatologie, Originalprüfungsfragen mit Kommentar, Schwarze Reihe, Georg Thieme Verlag, Stuttgart (2001)Google Scholar
  10. 13.
    Baumann R. P. et al.: Tumor-Histologie-Schlüssel ICD-O-DA, Springer-Verlag, Heidelberg (1978)Google Scholar
  11. 14.
  12. 15.
    National Library of Medicine: PubMed,
  13. 16.
    National Library of Medicine: Medical Subject Headings,
  14. 17.
    National Library of Medicine: Unified Medical Language System,
  15. 18.
    Sowa J.F.: Principles of Semantic Networks-Explorations in the Representation of Knowledge, Morgan Kaufmann Publishers, San Mateo (1991)zbMATHGoogle Scholar
  16. 19.
    IMS Global Learning Consortium: IMS Question & Test Interoperability,
  17. 20.
    Microsoft Learning Resource iNterchange (LRN),
  18. 21.
    Berners-Lee T.: Metadata Architecture,
  19. 22.
    World Wide Web Consortium (W3C): Resource Description Framework (RDF),

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Jürgen Albert
    • 1
  • Holger Höhn
    • 1
  1. 1.Universität Würzburg, Lehrstuhl für Informatik IIWürzburgGermany

Personalised recommendations