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Singh, Nishant, Raza, Mohsin, Paranthaman, Vishnu Vardhan, Awais, Muhammad 
ORCID: https://orcid.org/0000-0001-6421-9245, Khalid, Muhammad and Javed, Ehtasham
(2021)
Internet of Things and cloud computing.
In:
Digital Health.
Elsevier, pp. 151-162.
ISBN 9780128189146
Abstract
The healthcare sector has been stretched to its maximum capacity with the outbreak of coronavirus. With a worldwide impact it has highlighted the maximum capabilities and limitations in the existing healthcare facilities worldwide. Such an unprecedented load of healthcare requirements can be supported with Internet of Things (IoT) and cloud services. The limited number of healthcare staff and limited resources urge the use of emerging technologies to support healthcare provision. In such circumstance IoT and cloud computing offer sufficient potential that can be used for monitoring, diagnosis, support, and intelligent decisioning. A smart environment can be created with the collected data from patients, medical equipment, hospitals, ambulances, recovery centers, old-age houses, and nursing homes. The use of cloud services integrated with IoT allows the collection, analysis, and provisioning of support and solution at a rapid rate. This facilitates remote patient-monitoring and safeguards healthcare providers from coming in direct contact with the patient and highly infectious and contagious work environment. It also brings in great potentials for smart-health solutions with enhanced patient observation, monitoring, support, and prediction of vital needs essential in emergency situations.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | cloud computing,coronavirus (covid-19),fog,internet of things (iot),machine learning,remote patient-monitoring,smart healthcare,engineering(all) ,/dk/atira/pure/subjectarea/asjc/2200 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 17 Oct 2023 00:49 |
| Last Modified: | 10 Dec 2024 01:13 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/93332 |
| DOI: | 10.1016/b978-0-12-818914-6.00013-2 |
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