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PubMed · 9735449

Creating a digital video-based teaching file for interventional procedures using CT fluoroscopy.

T L Krebs·K C Hisley·B Daly·J J Wong-You-Cheong·D M Perlmutter
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Abstract

A computerized radiology education teaching file application, MRW (Multimedia Radiology Workstation), was produced in our department as a collaboration of faculty, fellows and a doctoral student. This inexpensive and flexible system is novice-programmable and is capable of capturing images from multiple modalities (including still and cine image) and organizing them into individual electronic teaching cases. Help and tutorial functions support the main case display functions.

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Computer-Assisted InstructionFluoroscopyHumansMultimediaRadiology, InterventionalSoftware DesignTomography, X-Ray ComputedVideo RecordingJournal ArticleResearch Support, Non-U.S. Gov't

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T L Krebs, K C Hisley, B Daly, J J Wong-You-Cheong, D M Perlmutter. 1998. Creating a digital video-based teaching file for interventional procedures using CT fluoroscopy.. https://doi.org/10.1007/bf03168279

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[Model trial: use and evaluation of a problem-oriented learning program in internal medicine].

BACKGROUND: Problem-based training is a new approach in medical education. It is in particular essential that students work actively with authentic medical cases. Modern software is appropriate for developing interactive case-based training systems and the use in teaching environments. This method is still rarely integrated within medical curricula. METHOD: In an educational trial with 287 students the conceptual background, feasibility and evaluation are discussed. The learning program CASUS was used to present the case of a macroprolactinoma for interactive training. A questionnaire with a return rate of 78% was used for evaluation. RESULTS: 96% of the students had no problems in learning how to handle and use the program. A major problem was to focus the contents of the program exactly to the students' needs. The students' judgement was independent of the individual computer skills. 82% of the students would like to use the program in the future. CONCLUSION: Case-based and computer-assisted learning increases motivation and probably improves the quality in medical education. Controlled trials have to be implemented in future to show the effectiveness and the long-term output of these learning systems.

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