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A Pilot Medical Curriculum Analysis and Visualization According to Medbiquitous Standards

KOMENDA, Martin, Matěj KAROLYI, Christos VAITSIS, Dimitris SPACHOS, Luke WOODHAM et. al.

Basic information

Original name

A Pilot Medical Curriculum Analysis and Visualization According to Medbiquitous Standards

Authors

KOMENDA, Martin (203 Czech Republic, guarantor, belonging to the institution), Matěj KAROLYI (203 Czech Republic, belonging to the institution), Christos VAITSIS (752 Sweden), Dimitris SPACHOS (300 Greece) and Luke WOODHAM (826 United Kingdom of Great Britain and Northern Ireland)

Edition

Los Alamitos, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, p. 144-149, 6 pp. 2017

Publisher

IEEE Computer Society

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Canada

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14110/17:00098489

Organization unit

Faculty of Medicine

ISBN

978-1-5386-1710-6

ISSN

UT WoS

000424864800029

Keywords in English

Medical and healthcare education; standardization; data analysis; data visualization

Tags

Změněno: 13/3/2018 13:13, Soňa Böhmová

Abstract

V originále

Curriculum design and implementation in higher medical education can be a great challenge. Although there are well-defined standards, such as the Curriculum Inventory and Competency Framework by MedBiquitous Consortium, existing systems are incapable of a visual representation of the various components, attributes, and relations. In this paper, we present the MEDCIN platform, a pilot tool which uses a standard-compliant curriculum data model to offer comprehensive and thorough analysis of a given curriculum. In addition, the ongoing research in challenging areas, such as the curriculum content comparison, can reveal valuable knowledge from existing data and transform the future of medical education.