Articles
Edge-assisted Healthcare Monitoring: Investigating the role of edge computing in real-time monitoring and management of healthcare data
Published 01-05-2024
Keywords
- Edge Computing,
- Healthcare Monitoring,
- Real-time Data Processing,
- Data Privacy,
- Security
- Implementation Strategies,
- Future Research Directions ...More
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
[1]
R. Reddy Yellu, P. Thunki, and M. Raparthi, “Edge-assisted Healthcare Monitoring: Investigating the role of edge computing in real-time monitoring and management of healthcare data”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 70–78, May 2024, Accessed: Nov. 07, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/18
Abstract
Edge computing has emerged as a promising paradigm for enhancing the efficiency and effectiveness of healthcare systems, particularly in real-time monitoring and management of healthcare data. This paper provides an overview of the role of edge computing in healthcare monitoring, focusing on its applications, benefits, and challenges. We discuss the potential of edge computing to enable real-time processing of healthcare data at the edge of the network, reducing latency and improving data privacy and security. We also examine various use cases and implementation strategies for edge-assisted healthcare monitoring, highlighting the key technologies and standards involved. Finally, we discuss future research directions and the potential impact of edge computing on the future of healthcare monitoring.
Downloads
Download data is not yet available.
References
- Jha, Rajesh K., et al. "An appropriate and cost-effective hospital recommender system for a patient of rural area using deep reinforcement learning." Intelligent Systems with Applications 18 (2023): 200218.
- Pargaonkar, Shravan. "Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering." Journal of Science & Technology 1.1 (2020): 61-66.
- Pulimamidi, Rahul. "To enhance customer (or patient) experience based on IoT analytical study through technology (IT) transformation for E-healthcare." Measurement: Sensors (2024): 101087.
- Sasidharan Pillai, Aravind. “Utilizing Deep Learning in Medical Image Analysis for Enhanced Diagnostic Accuracy and Patient Care: Challenges, Opportunities, and Ethical Implications”. Journal of Deep Learning in Genomic Data Analysis 1.1 (2021): 1-17.
- Raparthi, Mohan. "AI Integration in Precision Health-Advancements, Challenges, and Future Prospects." Asian Journal of Multidisciplinary Research & Review 1.1 (2020): 90-96.
- Raparthi, Mohan. "Deep Learning for Personalized Medicine-Enhancing Precision Health With AI." Journal of Science & Technology 1.1 (2020): 82-90.
- Raparthi, Mohan. "AI-Driven Decision Support Systems for Precision Medicine: Examining the Development and Implementation of AI-Driven Decision Support Systems in Precision Medicine." Journal of Artificial Intelligence Research 1.1 (2021): 11-20.
- Raparthi, Mohan. "Precision Health Informatics-Big Data and AI for Personalized Healthcare Solutions: Analyzing Their Roles in Generating Insights and Facilitating Personalized Healthcare Solutions." Human-Computer Interaction Perspectives 1.2 (2021): 1-8.
- Raparthi, Mohan. "AI Assisted Drug Discovery: Emphasizing Its Role in Accelerating Precision Medicine Initiatives and Improving Treatment Outcomes." Human-Computer Interaction Perspectives 2.2 (2022): 1-10.
- Raparthi, Mohan. "Robotic Process Automation in Healthcare-Streamlining Precision Medicine Workflows With AI." Journal of Science & Technology 1.1 (2020): 91-99.
- Raparthi, Mohan. "Harnessing Quantum Computing for Drug Discovery and Molecular Modelling in Precision Medicine: Exploring Its Applications and Implications for Precision Medicine Advancement." Advances in Deep Learning Techniques 2.1 (2022): 27-36.
- Shiwlani, Ashish, et al. "Synergies of AI and Smart Technology: Revolutionizing Cancer Medicine, Vaccine Development, and Patient Care." International Journal of Social, Humanities and Life Sciences 1.1 (2023): 10-18.
- Raparthi, Mohan. "Quantum Cryptography and Secure Health Data Transmission: Emphasizing Quantum Cryptography’s Role in Ensuring Privacy and Confidentiality in Healthcare Systems." Blockchain Technology and Distributed Systems 2.2 (2022): 1-10.
- Raparthi, Mohan. "Quantum Sensing Technologies for Biomedical Applications: Investigating the Advancements and Challenges." Journal of Computational Intelligence and Robotics 2.1 (2022): 21-32.
- Raparthi, Mohan. "Quantum-Inspired Optimization Techniques for IoT Networks: Focusing on Resource Allocation and Network Efficiency Enhancement for Improved IoT Functionality." Advances in Deep Learning Techniques 2.2 (2022): 1-9.
- Raparthi, Mohan. "Quantum-Inspired Neural Networks for Advanced AI Applications-A Scholarly Review of Quantum Computing Techniques in Neural Network Design." Journal of Computational Intelligence and Robotics 2.2 (2022): 1-8.
- Raparthi, Mohan. "Privacy-Preserving IoT Data Management with Blockchain and AI-A Scholarly Examination of Decentralized Data Ownership and Access Control Mechanisms." Internet of Things and Edge Computing Journal 1.2 (2021): 1-10.
- Raparthi, Mohan. "Real-Time AI Decision Making in IoT with Quantum Computing: Investigating & Exploring the Development and Implementation of Quantum-Supported AI Inference Systems for IoT Applications." Internet of Things and Edge Computing Journal 1.1 (2021): 18-27.
- Raparthi, Mohan. "Blockchain-Based Supply Chain Management Using Machine Learning: Analyzing Decentralized Traceability and Transparency Solutions for Optimized Supply Chain Operations." Blockchain Technology and Distributed Systems 1.2 (2021): 1-9.
- Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.