6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework

Digital era deficiencies traditionally exist in healthcare applications because of the unbalanced distribution of medical resources, especially in rural areas globally. Cognitive data intelligence, which constitute the integration of cognitive computing, massive data analytics, and tiny artificial i...

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Main Authors: Prafulla Kumar Padhi, Fernando Charrua-Santos
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied System Innovation
Subjects:
Online Access:https://www.mdpi.com/2571-5577/4/3/66
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spelling doaj-0d8c38687cd64f839a6f0a8fe84df1332021-09-25T23:42:52ZengMDPI AGApplied System Innovation2571-55772021-09-014666610.3390/asi40300666G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical FrameworkPrafulla Kumar Padhi0Fernando Charrua-Santos1Department of Industrial Engineering & Management, University of Beira Interior, 6201-001 Covilha, PortugalElectromechanical Department, University of Beira Interior, 6201-001 Covilha, PortugalDigital era deficiencies traditionally exist in healthcare applications because of the unbalanced distribution of medical resources, especially in rural areas globally. Cognitive data intelligence, which constitute the integration of cognitive computing, massive data analytics, and tiny artificial intelligence, especially tiny machine learning, can be used to palpate a patient’s health status, physiologically and psychologically transforming the current healthcare system. To remotely detect patients’ emotional state of diagnosing diseases, the integration of 6G enabled Tactile Internet, cognitive data intelligence, and Internet of Healthcare Everything is proposed to form the 6GCIoHE system that aims at achieving global ubiquitous accessibility, extremely low latency, high reliability, and elevated performance in cognitive healthcare in real time to ensure patients receive prompt treatment, especially for the haptic actions. Judiciously, a model-driven methodology is proffered to facilitate the 6GCIoHE system design and development that adopts different refinement levels to incorporate the cognitive healthcare requirements through the interactions of semantic management, process management, cognitive intelligence capabilities, and knowledge sources. Based on the 6GCIoHE system architecture, applications, and challenges, the aim of this study was accomplished by developing a novel theoretical framework to captivate further research within the cognitive healthcare field.https://www.mdpi.com/2571-5577/4/3/66cognitive data intelligencecognitive healthcaretiny machine learning6GCIoHE theoretical framework
collection DOAJ
language English
format Article
sources DOAJ
author Prafulla Kumar Padhi
Fernando Charrua-Santos
spellingShingle Prafulla Kumar Padhi
Fernando Charrua-Santos
6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework
Applied System Innovation
cognitive data intelligence
cognitive healthcare
tiny machine learning
6GCIoHE theoretical framework
author_facet Prafulla Kumar Padhi
Fernando Charrua-Santos
author_sort Prafulla Kumar Padhi
title 6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework
title_short 6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework
title_full 6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework
title_fullStr 6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework
title_full_unstemmed 6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework
title_sort 6g enabled tactile internet and cognitive internet of healthcare everything: towards a theoretical framework
publisher MDPI AG
series Applied System Innovation
issn 2571-5577
publishDate 2021-09-01
description Digital era deficiencies traditionally exist in healthcare applications because of the unbalanced distribution of medical resources, especially in rural areas globally. Cognitive data intelligence, which constitute the integration of cognitive computing, massive data analytics, and tiny artificial intelligence, especially tiny machine learning, can be used to palpate a patient’s health status, physiologically and psychologically transforming the current healthcare system. To remotely detect patients’ emotional state of diagnosing diseases, the integration of 6G enabled Tactile Internet, cognitive data intelligence, and Internet of Healthcare Everything is proposed to form the 6GCIoHE system that aims at achieving global ubiquitous accessibility, extremely low latency, high reliability, and elevated performance in cognitive healthcare in real time to ensure patients receive prompt treatment, especially for the haptic actions. Judiciously, a model-driven methodology is proffered to facilitate the 6GCIoHE system design and development that adopts different refinement levels to incorporate the cognitive healthcare requirements through the interactions of semantic management, process management, cognitive intelligence capabilities, and knowledge sources. Based on the 6GCIoHE system architecture, applications, and challenges, the aim of this study was accomplished by developing a novel theoretical framework to captivate further research within the cognitive healthcare field.
topic cognitive data intelligence
cognitive healthcare
tiny machine learning
6GCIoHE theoretical framework
url https://www.mdpi.com/2571-5577/4/3/66
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