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Data Exploitation Model in a Health Ecosystem to Support Formal and Informal Caregivers

GRIAL Research Group, Computer Science Department, University of Salamanca, 37008 Salamanca, Spain
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Presented at the 13th International Conference on Ubiquitous Computing and Ambient Intelligence UCAmI 2019, Toledo, Spain, 2–5 December 2019.‬‬‬‬‬‬‬
Proceedings 2019, 31(1), 42; https://doi.org/10.3390/proceedings2019031042
Published: 20 November 2019
Business interactions are rarely taken into account in the early stages of development of software ecosystems in the health sector, which causes these kinds of solutions to stay as conceptual proposals or be rapidly discontinued after deployment. In the present paper, we describe our approach towards the exploitation of a technological ecosystem focused on learning and knowledge management processes to develop and enhance the caregiving competences of formal and informal caregivers, both at home and in care environments. The definition of the business process has been done using the Business Process Model and Notation (BPMN) standard, which allows to further include the business model in the definition of the data taxonomy.
Keywords: health ecosystem; metamodel; caregivers; business data; business process; BPMN health ecosystem; metamodel; caregivers; business data; business process; BPMN
MDPI and ACS Style

Marcos-Pablos, S.; García-Holgado, A.; García-Peñalvo, F.J. Data Exploitation Model in a Health Ecosystem to Support Formal and Informal Caregivers. Proceedings 2019, 31, 42. https://doi.org/10.3390/proceedings2019031042

AMA Style

Marcos-Pablos S, García-Holgado A, García-Peñalvo FJ. Data Exploitation Model in a Health Ecosystem to Support Formal and Informal Caregivers. Proceedings. 2019; 31(1):42. https://doi.org/10.3390/proceedings2019031042

Chicago/Turabian Style

Marcos-Pablos, Samuel; García-Holgado, Alicia; García-Peñalvo, Francisco José. 2019. "Data Exploitation Model in a Health Ecosystem to Support Formal and Informal Caregivers" Proceedings 31, no. 1: 42. https://doi.org/10.3390/proceedings2019031042

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