A Meta-Model Integration for Supporting Knowledge Discovery in Specific Domains: A Case Study in Healthcare

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 15; p. 4072
• Main Authors: Vázquez-Ingelmo, Andrea, García-Holgado, Alicia, García-Peñalvo, Francisco José, Therón, Roberto
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 22.07.2020; MDPI AG
• Subjects: dashboard; Delivery of Health Care; healthcare; Knowledge Discovery; knowledge management; Learning; meta-model; model-driven development; technological ecosystem; health ecosystem; meta-model; meta-model integration; technological ecosystem; knowledge management; model-driven development; dashboard; healthcare
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s20154072

Knowledge management is one of the key priorities of many organizations. They face different challenges in the implementation of knowledge management processes, including the transformation of tacit knowledge-experience, skills, insights, intuition, judgment and know-how-into explicit knowledge. Furthermore, the increasing number of information sources and services in some domains, such as healthcare, increase the amount of information available. Therefore, there is a need to transform that information in knowledge. In this context, learning ecosystems emerge as solutions to support knowledge management in a different context. On the other hand, the dashboards enable the generation of knowledge through the exploitation of the data provided from different sources. The model-driven development of these solutions is possible through two meta-models developed in previous works. Even though those meta-models solve several problems, the learning ecosystem meta-model has a lack of decision-making support. In this context, this work provides two main contributions to face this issue. First, the definition of a holistic meta-model to support decision-making processes in ecosystems focused on knowledge management, also called learning ecosystems. The second contribution of this work is an instantiation of the presented holistic meta-model in the healthcare domain.