gms | German Medical Science

50. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds)
12. Jahrestagung der Deutschen Arbeitsgemeinschaft für Epidemiologie (dae)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie
Deutsche Arbeitsgemeinschaft für Epidemiologie

12. bis 15.09.2005, Freiburg im Breisgau

Experiences with generating diagnostic training cases from dismissal reports

Meeting Abstract

Suche in Medline nach

  • Christian Betz - Universität Würzburg, Würzburg
  • A. Hörnlein - Universität Würzburg, Würzburg
  • F. Puppe - Universität Würzburg, Würzburg

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. Deutsche Arbeitsgemeinschaft für Epidemiologie. 50. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 12. Jahrestagung der Deutschen Arbeitsgemeinschaft für Epidemiologie. Freiburg im Breisgau, 12.-15.09.2005. Düsseldorf, Köln: German Medical Science; 2005. Doc05gmds635

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/gmds2005/05gmds421.shtml

Veröffentlicht: 8. September 2005

© 2005 Betz et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielf&aauml;ltigt, verbreitet und &oauml;ffentlich zug&aauml;nglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Introduction

Case-based training becomes an established form of learning and training of medical content. Still, authoring is a complex and time-consuming task. To reduce author’s effort and time-to-class for new training cases, in [1] we presented an approach of generating diagnostic training cases from dismissal reports. Here, experiences from 8 systems and 280 cases are compiled.

System and Methods

The case-based training environment d3web.train [2] is a diagnostic tutoring environment: Selected cases are presented to a learner in a realistic fashion. The student is actively working to solve the case by giving correct diagnoses. Optional, the correct solution requires proper treatment.

In order to work on the case, the learner is given a set of tools: he can perform examinations and interpret results, make and test hypotheses. The system criticizes the learner’s actions if necessary.

Building upon the structural similarities of dismissal records and training cases, we developed a tool to compile d3web.train cases from MS Word documents: d3web.CaseImporter.

Authors add additional knowledge (intro, images, questions, weighted diagnoses) in Word, labeling it with build-in layout features like paragraph-breaks, font weight, or background color. After uploading their enriched documents to the web-based d3web.CaseImporter, authors debug cases, before releasing them to d3web.Train.

Together with d3web.CaseImporter, we introduced the technique of flexible authoring: To a much greater extend than ever before, it is up to the author to decide on features and granularity – d3web.Train adopts to a wide range of case semantics, from simple slideshows to highly interactive case-based simulations.

Results

We finished the tool d3web.CaseImporter and several authors used it to implement their own training systems, some of which are part of lectures. In the last year, eight systems were set-up, containing a total of 280 cases.

The technique of flexible authoring from word documents drastically reduces the workload on the author. D3web.CaseImporter enables even inexperienced authors to write their first interactive case in a few hours.

Discussion

The technique of flexible authoring puts control to where it belongs: the case authors. Together with the d3web.CaseImporter tool, it is possible to transform an existing dismissal record into a training case within minutes.

Starting from that minimalist case model, author can further develop his case to a full-blown knowledge based case. With d3web.CaseImporter, it is possible to author a case-based training system for supporting a single lecture. Experiences show, that these systems are well accepted by students [3].


References

1.
Betz C, Buscher H-P, Hörnlein A, Puppe F, Schumann M: Generierung diagnostischer Trainingsfälle aus Arztbriefen. In: Pöppl S, Bernauer J, Fischer M, Handels H, Klar R, Leven J, Puppe F, Spitzer K, Hrsg. Rechnergestützte Lehr- und Lernsysteme in der Medizin: Proceedings zum 8. Workshop der GMDS AG Computergestützte Lehr- und Lernsysteme in der Medizin, Universität zu Lübeck, 25.-26. März 2004, Shaker, Aachen, 2004. http://ki.informatik.uni-wuerzburg.de/papers/hoernlein/cbt2004_1/cbt2004_1.pdf (14. 6. 2005)
2.
Hörnlein A, Betz C, Puppe F: Redesign eines generativen, fallbasierten Trainingssystems für das WWW in d3web.Train. In: Bernauer J, Fischer M, Leven J, Puppe F, Weber M, Hrsg. Rechnergestützte Lehr- und Lernsysteme in der Medizin, Proceedings zum 6. Workshop der GMDS AG Computergestütze Lehr- und Lernsysteme in der Meizin, FH Ulm, 11.-12. April 2002, Shaker, Aachen, 2002.http://ki.informatik.uni-wuerzburg.de/papers/hoernlein/cbt2002/cbt2002.pdf, (14. 6. 2005)
3.
Krämer D, Reimer S, Hörnlein A, Betz C, Puppe F, Keitz C: Evaluation of a novel case-based training program (d3web.train) in hematology. Annals of Hematology, 2005.http://springerlink.metapress.com/openurl.asp?genre=article&id=doi:10.1007/s00277-005-1062-0 (14. 6. 05)