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.
Health Community 4.0: An Innovative Multidisciplinary Solution for Tailored Healthcare Assistance Management / Jayousi, S., Barchielli, C., Alaimo, M., Guarducci, S., Caputo, S., Paffetti, M., Zoppi, P., Mucchi, L.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 24:(2024), pp. 0-0. [10.3390/s24186059]
Health Community 4.0: An Innovative Multidisciplinary Solution for Tailored Healthcare Assistance Management
Jayousi, Sara;Barchielli, Chiara;Alaimo, Marco;Guarducci, Sara;Caputo, Stefano;Paffetti, Marzia;Zoppi, Paolo;Mucchi, Lorenzo
2024
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.| File | Dimensione | Formato | |
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sensors-24-06059-1.pdf
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1.27 MB | Adobe PDF |
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