Edge Computing in Healthcare Systems

2021 ◽  
pp. 63-100
Author(s):  
Madhura S. Mulimani ◽  
Rashmi R. Rachh
Keyword(s):  
Healthcare Systems ◽  
Edge Computing

IoMT, Edge Computing, Blockchain, and Deep Learning for Next Generation Healthcare Systems (Preprint)

2021 ◽  
Author(s):  
Mohammad (Behdad) Jamshidi ◽  
Tarek Frikha ◽  
Asal Sabet ◽  
Omar Cheikhrouhou ◽  
Habib Hamam
Keyword(s):  
Intelligent Systems ◽  
Personal Information ◽  
Healthcare Systems ◽  
Cyber Attacks ◽  
Edge Computing ◽  
Medical Documentation ◽  
Next Generation ◽  
Healthcare Data ◽  
Smart Healthcare ◽  
Flexible Infrastructure

UNSTRUCTURED Processing medical data, diagnosing diseases, determining the best possible medical centers or physicians, and recommending the more effective remedies or drugs in the earliest time are the most important challenges to deploy intelligent systems for healthcare purposes. Hence, utilization of the Internet of Medical Things (IoMT) with Edge Computing (EC) technology will result in a strong network to aggregate the healthcare data more reliably and solve the aforementioned challenges. However, the administration of the millions of individuals with a wide variety of physical or mental disorders is another challenge associated with the use of such Artificial Intelligence-based platforms, especially when it comes to a large number of insurance conditions and companies. Furthermore, although the EC-based platforms can increase the security of the data, there are still vulnerable to face some cyber-attacks. Thus, the privacy of sensitive personal information of patients should be considered. Blockchain is a suitable option to overcome the problems associated with medical documentation and administration of patient’s affairs using smart contracts. An EC-based platform based on blockchain to improve the weaknesses of conventional smart healthcare systems is rendered in this research. The proposed platform takes the advantage of both EC and blockchain in the terms of speed, security, accuracy, and bandwidth. It should be noted that this method could be utilized as a flexible infrastructure for the next generation healthcare systems using any kind of crypto network like Bitcoin, Ethereum, Cardano, etc.

Opportunistic Edge Computing Architecture for Smart Healthcare Systems

2021 ◽  
pp. 289-306
Author(s):  
Nivethitha V. ◽  
Aghila G.
Keyword(s):  
Cloud Computing ◽  
Healthcare Systems ◽  
Edge Computing ◽  
Healthcare Applications ◽  
Sensitive Data ◽  
Network Resource ◽  
Computing Architecture ◽  
Healthcare Data ◽  
Smart Healthcare ◽  
Network Response Time

Some of the largest global industries that is driving smart city environments are anywhere and anytime health monitoring applications. Smart healthcare systems need to be more preventive and responsive as they deal with sensitive data. Even though cloud computing provides solutions to the smart healthcare applications, the major challenge imposed on cloud computing is how could the centralized traditional cloud computing handle voluminous data. The existing models may encounter problems related to network resource utilization, overheads in network response time, and communication latency. As a solution to these problems, edge-oriented computing has emerged as a new computing paradigm through localized computing. Edge computing expands the compute, storage, and networking capabilities to the edge of the network which will respond to the above-mentioned issues. Based on cloud computing and edge computing, in this chapter an opportunistic edge computing architecture is introduced for smart provisioning of healthcare data.

scholarly journals EdgeCare: Leveraging Edge Computing for Collaborative Data Management in Mobile Healthcare Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 22011-22025 ◽  
Author(s):  
Xiaohuan Li ◽  
Xumin Huang ◽  
Chunhai Li ◽  
Rong Yu ◽  
Lei Shu
Keyword(s):  
Data Management ◽  
Healthcare Systems ◽  
Edge Computing ◽  
Mobile Healthcare

Edge Computing Based Healthcare Systems: Enabling Decentralized Health Monitoring in Internet of Medical Things

IEEE Network ◽  
2020 ◽  
Vol 34 (5) ◽  
pp. 254-261 ◽  
Author(s):  
Peiran Dong ◽  
Zhaolong Ning ◽  
Mohammad S. Obaidat ◽  
Xin Jiang ◽  
Yi Guo ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Healthcare Systems ◽  
Edge Computing ◽  
Internet Of Medical Things

scholarly journals Blockchain-Based Secure Storage Management with Edge Computing for IoT

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 828 ◽  
Author(s):  
Nyamtiga ◽  
Sicato ◽  
Rathore ◽  
Sung ◽  
Park
Keyword(s):  
Mobile Devices ◽  
Data Storage ◽  
Healthcare Systems ◽  
Distributed Computation ◽  
Storage Management ◽  
Edge Computing ◽  
Resources Management ◽  
Secure Storage ◽  
Core Technology ◽  
Successful Integration

As a core technology to manage decentralized systems, blockchain is gaining much popularity to deploy such applications as smart grid and healthcare systems. However, its utilization in resource-constrained mobile devices is limited due to high demands of resources and poor scalability with frequent-intensive transactions. Edge computing can be integrated to facilitate mobile devices in offloading their mining tasks to cloud resources. This integration ensures reliable access, distributed computation and untampered storage for scalable and secure transactions. It is imperative therefore that crucial issues of security, scalability and resources management be addressed to achieve successful integration. Studies have been conducted to explore suitable architectural requirements, and some researchers have applied the integration to deploy some specific applications. Despite these efforts, however, issues of anonymity, adaptability and integrity still need to be investigated further to attain a practical, secure decentralized data storage. We based our study on peer-to-peer and blockchain to achieve an Internet of Things (IoT) design supported by edge computing to acquire security and scalability levels needed for the integration. We investigated existing blockchain and associated technologies to discover solutions that address anonymity, integrity and adaptability issues for successful integration of blockchain in IoT systems. The discovered solutions were then incorporated in our conceptual design of the decentralized application prototype presented for secure storage of IoT data and transactions.

scholarly journals Edge computing in multi-scope service-oriented mobile healthcare systems

2019 ◽  
Vol 0 (1) ◽  
pp. 118-127
Author(s):  
Ihor Pysmennyi ◽  
Roman Kyslyi ◽  
Anatoly Petrenko
Keyword(s):  
Healthcare Systems ◽  
Edge Computing ◽  
Mobile Healthcare ◽  
Service Oriented

Toward Identifying Mild Cognitive Impairment in Hispanic and African American Adults

2017 ◽  
Vol 2 (2) ◽  
pp. 110-116
Author(s):  
Valarie B. Fleming ◽  
Joyce L. Harris
Keyword(s):  
Older Adults ◽  
African American ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Healthcare Access ◽  
Communication Disorders ◽  
Healthcare Systems ◽  
Prevention Education ◽  
Education Management ◽  
African American Adults

Across the breadth of acquired neurogenic communication disorders, mild cognitive impairment (MCI) may go undetected, underreported, and untreated. In addition to stigma and distrust of healthcare systems, other barriers contribute to decreased identification, healthcare access, and service utilization for Hispanic and African American adults with MCI. Speech-language pathologists (SLPs) have significant roles in prevention, education, management, and support of older adults, the population must susceptible to MCI.

Dimensions of Information and Resource Flow in Healthcare Systems

2007 ◽  
Author(s):  
Karim Camille Boustany ◽  
Barrett S. Caldwell
Keyword(s):  
Healthcare Systems ◽  
Resource Flow
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