Time to forge ahead: The Internet of Things for healthcare
Situated at the intersection of technology and medicine, the Internet of Things (IoT) holds the promise of addressing some of healthcare's most pressing challenges, from medical error, to chronic drug shortages, to overburdened hospital systems, to dealing with the COVID-19 pandemic. However, d...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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KeAi Communications Co., Ltd.
2023-02-01
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Series: | Digital Communications and Networks |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864822001298 |
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author | Denzil Furtado André F. Gygax Chien Aun Chan Ashley I. Bush |
author_facet | Denzil Furtado André F. Gygax Chien Aun Chan Ashley I. Bush |
author_sort | Denzil Furtado |
collection | DOAJ |
description | Situated at the intersection of technology and medicine, the Internet of Things (IoT) holds the promise of addressing some of healthcare's most pressing challenges, from medical error, to chronic drug shortages, to overburdened hospital systems, to dealing with the COVID-19 pandemic. However, despite considerable recent technological advances, the pace of successful implementation of promising IoT healthcare initiatives has been slow. To inspire more productive collaboration, we present here a simple—but surprisingly underrated—problem-oriented approach to developing healthcare technologies. To further assist in this effort, we reviewed the various commercial, regulatory, social/cultural, and technological factors in the development of the IoT. We propose that fog computing—a technological paradigm wherein the burden of computing is shifted from a centralized cloud server closer to the data source—offers the greatest promise for building a robust and scalable healthcare IoT ecosystem. To this end, we explore the key enabling technologies that underpin the fog architecture, from the sensing layer all the way up to the cloud. It is our hope that ongoing advances in sensing, communications, cryptography, storage, machine learning, and artificial intelligence will be leveraged in meaningful ways to generate unprecedented medical intelligence and thus drive improvements in the health of many people. |
first_indexed | 2024-04-10T05:50:08Z |
format | Article |
id | doaj.art-daa26186fdaf45749a585340647c25c1 |
institution | Directory Open Access Journal |
issn | 2352-8648 |
language | English |
last_indexed | 2024-04-10T05:50:08Z |
publishDate | 2023-02-01 |
publisher | KeAi Communications Co., Ltd. |
record_format | Article |
series | Digital Communications and Networks |
spelling | doaj.art-daa26186fdaf45749a585340647c25c12023-03-05T04:24:53ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482023-02-0191223235Time to forge ahead: The Internet of Things for healthcareDenzil Furtado0André F. Gygax1Chien Aun Chan2Ashley I. Bush3Melbourne Dementia Research Centre & Department of Chemical Engineering, University of Melbourne, VIC, 3010, AustraliaFaculty of Business and Economics, University of Melbourne, VIC, 3010, Australia; Corresponding author.Department of Electrical and Electronic Engineering, University of Melbourne, VIC, 3010, AustraliaFlorey Institute of Neuroscience and Mental Health, University of Melbourne, VIC, 3010, AustraliaSituated at the intersection of technology and medicine, the Internet of Things (IoT) holds the promise of addressing some of healthcare's most pressing challenges, from medical error, to chronic drug shortages, to overburdened hospital systems, to dealing with the COVID-19 pandemic. However, despite considerable recent technological advances, the pace of successful implementation of promising IoT healthcare initiatives has been slow. To inspire more productive collaboration, we present here a simple—but surprisingly underrated—problem-oriented approach to developing healthcare technologies. To further assist in this effort, we reviewed the various commercial, regulatory, social/cultural, and technological factors in the development of the IoT. We propose that fog computing—a technological paradigm wherein the burden of computing is shifted from a centralized cloud server closer to the data source—offers the greatest promise for building a robust and scalable healthcare IoT ecosystem. To this end, we explore the key enabling technologies that underpin the fog architecture, from the sensing layer all the way up to the cloud. It is our hope that ongoing advances in sensing, communications, cryptography, storage, machine learning, and artificial intelligence will be leveraged in meaningful ways to generate unprecedented medical intelligence and thus drive improvements in the health of many people.http://www.sciencedirect.com/science/article/pii/S2352864822001298Internet of ThingsHealthcareInformationFog computingArtificial intelligenceMachine learning |
spellingShingle | Denzil Furtado André F. Gygax Chien Aun Chan Ashley I. Bush Time to forge ahead: The Internet of Things for healthcare Digital Communications and Networks Internet of Things Healthcare Information Fog computing Artificial intelligence Machine learning |
title | Time to forge ahead: The Internet of Things for healthcare |
title_full | Time to forge ahead: The Internet of Things for healthcare |
title_fullStr | Time to forge ahead: The Internet of Things for healthcare |
title_full_unstemmed | Time to forge ahead: The Internet of Things for healthcare |
title_short | Time to forge ahead: The Internet of Things for healthcare |
title_sort | time to forge ahead the internet of things for healthcare |
topic | Internet of Things Healthcare Information Fog computing Artificial intelligence Machine learning |
url | http://www.sciencedirect.com/science/article/pii/S2352864822001298 |
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