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Cost-Effectiveness Assessment of Internet of Things in Smart Cities

With the ongoing rapid urbanization of city regions and the growing need for (cost-)effective healthcare provision, governments need to address urban challenges with smart city interventions. In this context, impact assessment plays a key role in the decision-making process of assessing cost-effecti...

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Autores principales: Febrer, Nuria, Folkvord, Frans, Lupiañez-Villanueva, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522002/
https://www.ncbi.nlm.nih.gov/pubmed/34713138
http://dx.doi.org/10.3389/fdgth.2021.662874
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author Febrer, Nuria
Folkvord, Frans
Lupiañez-Villanueva, Francisco
author_facet Febrer, Nuria
Folkvord, Frans
Lupiañez-Villanueva, Francisco
author_sort Febrer, Nuria
collection PubMed
description With the ongoing rapid urbanization of city regions and the growing need for (cost-)effective healthcare provision, governments need to address urban challenges with smart city interventions. In this context, impact assessment plays a key role in the decision-making process of assessing cost-effectiveness of Internet of Things–based health service applications in cities, as it identifies the interventions that can obtain the best results for citizens' health and well-being. We present a new methodology to evaluate smart city projects and interventions through the MAFEIP tool, a recent online tool for cost-effectiveness analysis that has been used extensively to test information and communications technology solutions for healthy aging. Resting on the principles of Markov models, the purpose of the MAFEIP tool is to estimate the outcomes of a large variety of social and technological innovations, by providing an early assessment of the likelihood of achieving anticipated impacts through interventions of choice. Thus, the analytical model suggested in this article provides smart city projects with an evidence-based assessment to improve their efficiency and effectivity, by comparing the costs and the efforts invested, with the corresponding results.
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spelling pubmed-85220022021-10-27 Cost-Effectiveness Assessment of Internet of Things in Smart Cities Febrer, Nuria Folkvord, Frans Lupiañez-Villanueva, Francisco Front Digit Health Digital Health With the ongoing rapid urbanization of city regions and the growing need for (cost-)effective healthcare provision, governments need to address urban challenges with smart city interventions. In this context, impact assessment plays a key role in the decision-making process of assessing cost-effectiveness of Internet of Things–based health service applications in cities, as it identifies the interventions that can obtain the best results for citizens' health and well-being. We present a new methodology to evaluate smart city projects and interventions through the MAFEIP tool, a recent online tool for cost-effectiveness analysis that has been used extensively to test information and communications technology solutions for healthy aging. Resting on the principles of Markov models, the purpose of the MAFEIP tool is to estimate the outcomes of a large variety of social and technological innovations, by providing an early assessment of the likelihood of achieving anticipated impacts through interventions of choice. Thus, the analytical model suggested in this article provides smart city projects with an evidence-based assessment to improve their efficiency and effectivity, by comparing the costs and the efforts invested, with the corresponding results. Frontiers Media S.A. 2021-05-24 /pmc/articles/PMC8522002/ /pubmed/34713138 http://dx.doi.org/10.3389/fdgth.2021.662874 Text en Copyright © 2021 Febrer, Folkvord and Lupiañez-Villanueva. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Febrer, Nuria
Folkvord, Frans
Lupiañez-Villanueva, Francisco
Cost-Effectiveness Assessment of Internet of Things in Smart Cities
title Cost-Effectiveness Assessment of Internet of Things in Smart Cities
title_full Cost-Effectiveness Assessment of Internet of Things in Smart Cities
title_fullStr Cost-Effectiveness Assessment of Internet of Things in Smart Cities
title_full_unstemmed Cost-Effectiveness Assessment of Internet of Things in Smart Cities
title_short Cost-Effectiveness Assessment of Internet of Things in Smart Cities
title_sort cost-effectiveness assessment of internet of things in smart cities
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522002/
https://www.ncbi.nlm.nih.gov/pubmed/34713138
http://dx.doi.org/10.3389/fdgth.2021.662874
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