Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case study

Purpose The main objective of the study is to address the lack of sustainability assessments of smart connected health systems in the academic literature by presenting an assessment model to determine the alignment of these systems with the 17 Sustainable Development Goals (SDGs) proposed in the 203...

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Autores: Díaz Jiménez , David, López Ruiz, José Luis, González Lama, Jesús, Verdejo Espinosa, Ángeles
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/7488
Acceso en línea:https://www.emerald.com/sasbe/article/14/7/2235/1258437/Assessing-the-sustainable-alignment-of-a-sensor
https://hdl.handle.net/10953/7488
Access Level:acceso abierto
Palabra clave:Sensor devices
Internet of things
Artificial intelligence
Sustainable Development Goals
Healthcare technology
Sustainability challenges
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004.7
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spelling Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case studyDíaz Jiménez , DavidLópez Ruiz, José LuisGonzález Lama, JesúsVerdejo Espinosa, ÁngelesSensor devicesInternet of thingsArtificial intelligenceSustainable Development GoalsHealthcare technologySustainability challenges004004.3004.7Purpose The main objective of the study is to address the lack of sustainability assessments of smart connected health systems in the academic literature by presenting an assessment model to determine the alignment of these systems with the 17 Sustainable Development Goals (SDGs) proposed in the 2030 Agenda. Design/methodology/approach An evaluation model based on decision analysis is proposed that includes three phases: alignment framework, information gathering and assessment. This model measures the alignment of the connected health system with each of the 17 SDGs, identifying the goals and criteria associated with each SDG that the system achieves to satisfy. Findings The analysis reveals that the system has achieved more than 24% of the targets among the 17 SDGs. In addition, it identifies four sustainability challenges that the system potentially addresses in relation to the SDGs, providing valuable guidance for researchers and practitioners interested in sustainable health technology development. Practical implications The study's results have significant implications for policymakers and stakeholders in the health and technology sectors. Originality/value The originality of this study lies in its comprehensive approach to assessing the sustainability of connected health systems in the context of the SDGs, filling an important gap in the existing literature.Emerald202620262025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.emerald.com/sasbe/article/14/7/2235/1258437/Assessing-the-sustainable-alignment-of-a-sensorhttps://hdl.handle.net/10953/7488reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésSmart and Sustainable Built Environment;7;2235-2259Attribution 3.0 Spainhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/74882026-06-24T12:41:07Z
dc.title.none.fl_str_mv Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case study
title Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case study
spellingShingle Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case study
Díaz Jiménez , David
Sensor devices
Internet of things
Artificial intelligence
Sustainable Development Goals
Healthcare technology
Sustainability challenges
004
004.3
004.7
title_short Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case study
title_full Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case study
title_fullStr Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case study
title_full_unstemmed Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case study
title_sort Assessing the sustainable alignment of a sensor-based connected health system with SDGs: an evaluation model and case study
dc.creator.none.fl_str_mv Díaz Jiménez , David
López Ruiz, José Luis
González Lama, Jesús
Verdejo Espinosa, Ángeles
author Díaz Jiménez , David
author_facet Díaz Jiménez , David
López Ruiz, José Luis
González Lama, Jesús
Verdejo Espinosa, Ángeles
author_role author
author2 López Ruiz, José Luis
González Lama, Jesús
Verdejo Espinosa, Ángeles
author2_role author
author
author
dc.subject.none.fl_str_mv Sensor devices
Internet of things
Artificial intelligence
Sustainable Development Goals
Healthcare technology
Sustainability challenges
004
004.3
004.7
topic Sensor devices
Internet of things
Artificial intelligence
Sustainable Development Goals
Healthcare technology
Sustainability challenges
004
004.3
004.7
description Purpose The main objective of the study is to address the lack of sustainability assessments of smart connected health systems in the academic literature by presenting an assessment model to determine the alignment of these systems with the 17 Sustainable Development Goals (SDGs) proposed in the 2030 Agenda. Design/methodology/approach An evaluation model based on decision analysis is proposed that includes three phases: alignment framework, information gathering and assessment. This model measures the alignment of the connected health system with each of the 17 SDGs, identifying the goals and criteria associated with each SDG that the system achieves to satisfy. Findings The analysis reveals that the system has achieved more than 24% of the targets among the 17 SDGs. In addition, it identifies four sustainability challenges that the system potentially addresses in relation to the SDGs, providing valuable guidance for researchers and practitioners interested in sustainable health technology development. Practical implications The study's results have significant implications for policymakers and stakeholders in the health and technology sectors. Originality/value The originality of this study lies in its comprehensive approach to assessing the sustainability of connected health systems in the context of the SDGs, filling an important gap in the existing literature.
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.emerald.com/sasbe/article/14/7/2235/1258437/Assessing-the-sustainable-alignment-of-a-sensor
https://hdl.handle.net/10953/7488
url https://www.emerald.com/sasbe/article/14/7/2235/1258437/Assessing-the-sustainable-alignment-of-a-sensor
https://hdl.handle.net/10953/7488
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Smart and Sustainable Built Environment;7;2235-2259
dc.rights.none.fl_str_mv Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Emerald
publisher.none.fl_str_mv Emerald
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
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