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Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits

Home healthcare in the Italian health system has proven to be an essential factor in adequately responding to the health needs of an increasingly aging population. The opportunities offered by digitization and new technologies, such as artificial intelligence (AI) and robotics, are a lever for makin...

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Autores principales: Cingolani, Mariano, Scendoni, Roberto, Fedeli, Piergiorgio, Cembrani, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849776/
https://www.ncbi.nlm.nih.gov/pubmed/36684935
http://dx.doi.org/10.3389/fpubh.2022.1095001
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author Cingolani, Mariano
Scendoni, Roberto
Fedeli, Piergiorgio
Cembrani, Fabio
author_facet Cingolani, Mariano
Scendoni, Roberto
Fedeli, Piergiorgio
Cembrani, Fabio
author_sort Cingolani, Mariano
collection PubMed
description Home healthcare in the Italian health system has proven to be an essential factor in adequately responding to the health needs of an increasingly aging population. The opportunities offered by digitization and new technologies, such as artificial intelligence (AI) and robotics, are a lever for making home care services more effective and efficient on the one hand, and on the other for improving remote patient monitoring. Telemedicine devices have enormous potential for telemonitoring and telerehabilitation of patients suffering from chronic disabling diseases; in particular, AI systems can now provide very useful managerial and decision-making support in numerous clinical areas. AI combined with digitalization, could also allow for the remote monitoring of patients' health conditions. In this paper authors describe some digital and healthcare tools or system of AI, such as the Connected Care model, the Home Care Premium (HCP) project, The Resilia App and some professional service robotics. In this context, to optimize potential and concrete healthcare improvements, some limits need to be overcome: gaps in health information systems and digital tools at all levels of the Italian National Health Service, the slow dissemination of the computerized medical record, issues of digital literacy, the high cost of devices, the poor protection of data privacy. The danger of over-reliance on such systems should also be examined. Therefore the legal systems of the various countries, including Italy, should indicate clear decision-making paths for the patient.
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spelling pubmed-98497762023-01-20 Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits Cingolani, Mariano Scendoni, Roberto Fedeli, Piergiorgio Cembrani, Fabio Front Public Health Public Health Home healthcare in the Italian health system has proven to be an essential factor in adequately responding to the health needs of an increasingly aging population. The opportunities offered by digitization and new technologies, such as artificial intelligence (AI) and robotics, are a lever for making home care services more effective and efficient on the one hand, and on the other for improving remote patient monitoring. Telemedicine devices have enormous potential for telemonitoring and telerehabilitation of patients suffering from chronic disabling diseases; in particular, AI systems can now provide very useful managerial and decision-making support in numerous clinical areas. AI combined with digitalization, could also allow for the remote monitoring of patients' health conditions. In this paper authors describe some digital and healthcare tools or system of AI, such as the Connected Care model, the Home Care Premium (HCP) project, The Resilia App and some professional service robotics. In this context, to optimize potential and concrete healthcare improvements, some limits need to be overcome: gaps in health information systems and digital tools at all levels of the Italian National Health Service, the slow dissemination of the computerized medical record, issues of digital literacy, the high cost of devices, the poor protection of data privacy. The danger of over-reliance on such systems should also be examined. Therefore the legal systems of the various countries, including Italy, should indicate clear decision-making paths for the patient. Frontiers Media S.A. 2023-01-05 /pmc/articles/PMC9849776/ /pubmed/36684935 http://dx.doi.org/10.3389/fpubh.2022.1095001 Text en Copyright © 2023 Cingolani, Scendoni, Fedeli and Cembrani. 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 Public Health
Cingolani, Mariano
Scendoni, Roberto
Fedeli, Piergiorgio
Cembrani, Fabio
Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits
title Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits
title_full Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits
title_fullStr Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits
title_full_unstemmed Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits
title_short Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits
title_sort artificial intelligence and digital medicine for integrated home care services in italy: opportunities and limits
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849776/
https://www.ncbi.nlm.nih.gov/pubmed/36684935
http://dx.doi.org/10.3389/fpubh.2022.1095001
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