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A design methodology for matching smart health requirements

Articolo
Data di Pubblicazione:
2020
Citazione:
A design methodology for matching smart health requirements / V. Bellandi, P. Ceravolo, A. Cristiano, E. Damiani, A. Sanna, D. Trojaniello. - In: CONCURRENCY AND COMPUTATION. - ISSN 1532-0634. - (2020). [Epub ahead of print] [10.1002/cpe.6062]
Abstract:
As now well established, the world population is aging rapidly and, according to World Health Organization (WHO), the amount of people aged 60 years and older is expected to total 2 billion in 2050. For this reason, an emerging important issue is the definition of a new generation of healthcare platforms capable of monitoring people's quality of life. In this article, we propose a new methodology that supports the entire requirement elicitation process starting from the initial phase of gathering the requirements, both clinical, technological, and end‐user, up to the choice of the most suitable solution. Our proposal provides a new new iterative model in the smart healthcare field research area. Furthermore we apply our proposal in a real scenario and we report the end‐to‐end implementation of the proposed methodology.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
IoT platforms; requirements elicitation; smart health ecosystems
Elenco autori:
V. Bellandi, P. Ceravolo, A. Cristiano, E. Damiani, A. Sanna, D. Trojaniello
Autori di Ateneo:
BELLANDI VALERIO ( autore )
CERAVOLO PAOLO ( autore )
DAMIANI ERNESTO ( autore )
Link alla scheda completa:
https://air.unimi.it/handle/2434/781067
Link al Full Text:
https://air.unimi.it/retrieve/handle/2434/781067/1607770/cpe.6062.pdf
Progetto:
Smart Big Data Platform to Offer Evidence-based Personalised Support for Healthy and Independent Living at Home (SMART BEAR)
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