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Architecture of the healthcare ecosystem for caregivers in C4 Model

appsOther research productkeyboard_double_arrow_right Image 14 Oct 2019 English Publisher:Zenodo
Authors: García-Holgado, A.; Vázquez-Ingelmo, A.; García-Peñalvo, F. J.; Therón, R.;

doi: 10.5281/zenodo.3490541 , 10.5281/zenodo.3490540

Architecture of the healthcare ecosystem for caregivers in C4 Model

Abstract

The healthcare ecosystem for caregivers is focused on supporting the learning and knowledge management processes to develop and enhance the caregiving competences both at home and in care environments of formal and informal caregivers (García-Holgado, Marcos-Pablos & García-Peñalvo, 2019). This model is part of a paper accepted in UCAmI2019: 13th International Conference on Ubiquitous Computing and Ambient Intelligence (Vázquez-Ingelmo, García-Holgado, García-Peñalvo & Therón, 2019). García-Holgado, A., Marcos-Pablos, S., & García-Peñalvo, F. J. (2019). A Model to Define an eHealth Technological Ecosystem for Caregivers. In Á. Rocha, H. Adeli, L. Reis, & S. Costanzo (Eds.), New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing (Vol. 932, pp. 422-432). Cham: Springer. Vázquez-Ingelmo, A., García-Holgado, A., García-Peñalvo, F. J., & Therón, R. (2019). Dashboard metamodel for knowledge management in technological ecosystem: a case study in healthcare. In press.

Keywords

software architecture, C4 model, technological ecosystem, knowledge management, software engineering

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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