Health Community 4.0: An Innovative Multidisciplinary Solution for Tailored Healthcare Assistance Management

This paper presents a co-designed solution aimed at improving community healthcare assistance management. To enhance patients' self-awareness of their health status, encouraging active participation in care process, and to support nurses in delivering patient-centered care, we have developed an innovative platform with a highly customized app. This platform was designed using a multi-disciplinary, bottom-up approach. Patient data collection and processing facilitate the automation of care timeline planning, based on real-time patients' needs and the available resources. To achieve this goal, different components have been considered: real-time health data collection and processing, patient care planning, decision support for nurses, secure communication for data transmission, and user-friendly interfaces to ensure easy access to platform functionalities.

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Institutions

Publication Details

Journal
Sensors
Published
2024-09-19
DOI
https://doi.org/10.3390/s24186059
Citations
2
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
1.70

Funders

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article

Health Community 4.0: An Innovative Multidisciplinary Solution for Tailored Healthcare Assistance Management

Marco Alaimo, Stefano Caputo, Paolo Zoppi, Chiara Barchielli et al.
2 citations
Sensors
Mobile Health and mHealth Applications
1.70
article

Health Community 4.0: An Innovative Multidisciplinary Solution for Tailored Healthcare Assistance Management

Marco Alaimo, Stefano Caputo, Paolo Zoppi, Chiara Barchielli, Lorenzo Mucchi, Marzia Paffetti, Sara Guarducci, Sara Jayousi
article en
2 citations

Abstract

This paper presents a co-designed solution aimed at improving community healthcare assistance management. To enhance patients' self-awareness of their health status, encouraging active participation in care process, and to support nurses in delivering patient-centered care, we have developed an innovative platform with a highly customized app. This platform was designed using a multi-disciplinary, bottom-up approach. Patient data collection and processing facilitate the automation of care timeline planning, based on real-time patients' needs and the available resources. To achieve this goal, different components have been considered: real-time health data collection and processing, patient care planning, decision support for nurses, secure communication for data transmission, and user-friendly interfaces to ensure easy access to platform functionalities.

SensorsVol. 24(18)
Scuola Superiore Sant'Anna (IT), Polo Universitario Città di Prato (IT), Azienda Usl Toscana Centro (IT), University of Florence (IT)
European Commission, Fondazione Cassa di Risparmio di Firenze
Partnerships for the goals
Openalex Percentile: Top 14%
Mobile Health and mHealth Applications
1.70
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Health Community 4.0: An Innovative Multidisciplinary Solution for Tailored Healthcare Assistance Management — Marco Alaimo, Stefano Caputo, et al. · Sensors (2024) | TGRS Research Map | TGRS