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An Ontology-Based E-Learning Framework for Healthcare Human Resource Management*

1 I C I Bucharest
(National Institute for R & D in Informatics)

8-10 Averescu Blvd.
011455 Bucharest 1, Romania,
2 Department of Economic Informatics and Cybernetics,
Bucharest University of Economic Studies,
6 Romana Square, Bucharest, 010374, Romania

Abstract: Human resources management is an essential prerequisite to enhance performance in healthcare organizations. Improving human resources management in a university hospital, first and foremost depends on how professional and knowledgeable the management team is, as well as on the competences and skills of its members. This paper describes a highly personalized e-learning system, which is able to take into account the individual’s profile, learning style, initial knowledge and education needs. The system is based on new technologies: Semantic Web and ontologies. On these technologies are based the development of the constituent parts of the system: the student model, the model of the field of interest namely Healthcare Human Resources Management (HHRM) in Romania. The main benefit of the proposed e-learning method consists in personalized training of managers. The characteristic feature of the suggested method largely lies in the fact that specific ontologies of the field of interest are implemented with the Protégé environment which relies on a personalized methodology. The paper presents the constituent parts and architecture of the proposed ontology-based e-learning system and a framework for its implementation in a real life platform. Even though the current system is tailored to the needs of HHRM , its application could be extended to other fields of knowledge and learning contexts.

Keywords: E-learning, personalization, ontology-based model, semantic web, human resource management, LMS.

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Lidia BĂJENARU, Ion SMEUREANU, Alexandru BALOG, An Ontology-Based E-Learning Framework for Healthcare Human Resource Management, Studies in Informatics and Control, ISSN 1220-1766, vol. 25(1), pp. 99-108, 2016.