2026-06-01T17:58:31Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/1169532025-03-18T14:33:15Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense
author
Buendía, Félix
author
Gayoso Cabada, Joaquín
author
Sierra Rodríguez, José Luis
2025-01-29T15:01:08Z
2025-01-29T15:01:08Z
2019-05-18
0148-55981573-689X
10.1007/s10916-019-1330-5
https://hdl.handle.net/20.500.14352/116953
In this paper, we describe an approach to transforming the huge amount of medical knowledge available in existing online medical collections into standardized learning packages ready to be integrated into the most popular e-learning platforms. The core of our approach is a tool called Clavy, which makes it possible to retrieve pieces of content in medical collections, to transform this content into meaningful learning units, and to export it in the form of standardized learning packages. In addition to describing the approach, we demonstrate its feasibility by applying it to the generation of IMS content packages from MedPix, a popular online database of medical cases in the domain of radiology.
eng
Generation of Standardized E-Learning Content from Digital Medical Collections
journal article
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URL
https://docta.ucm.es/bitstreams/12308191-8330-43dd-9d6a-cf49e3da4282/download
File
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JOMS19.pdf
URL
https://docta.ucm.es/bitstreams/e86ffade-8cf7-4be7-9c30-b6753dfb6cf1/download
File
MD5
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text/plain
JOMS19.pdf.txt