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.

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]

A design methodology for matching smart health requirements

V. Bellandi
Primo
;
P. Ceravolo
Secondo
;
E. Damiani;
2020

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.
IoT platforms; requirements elicitation; smart health ecosystems
Settore INF/01 - Informatica
   Smart Big Data Platform to Offer Evidence-based Personalised Support for Healthy and Independent Living at Home (SMART BEAR)
   SMART BEAR
   EUROPEAN COMMISSION
   H2020
   857172
2020
28-ott-2020
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/781067
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