Generation of Standardized E-Learning Contents from Digital Medical Collections

TL;DR

This paper presents Clavy, a tool that converts large online medical collections into standardized e-learning packages, demonstrated through radiology case studies from MedPix.

Contribution

Introduction of Clavy, a novel tool for transforming medical content into standardized e-learning modules from online collections.

Findings

Successful generation of IMS content packages from MedPix

Clavy effectively retrieves and transforms medical content

Feasibility demonstrated in radiology domain

Abstract

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.