Fog Computing for Next-Generation Healthcare DOI

Md Naiyar Imam,

Aftab Mansoori,

Abhilasha Priya

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 115 - 132

Published: April 17, 2025

Fog computing enhances data processing by improving patient care and acts as a bridge between cloud Internet of Things (IoT) devices in the healthcare domain. The objective is to handle with low-latency, it essential respond quickly various services like medical emergency. limitations traditional architectures are responsible for delays that distance network congestion can provoke cause great risk injury service quality deterioration, serving an impetus integrating fog health systems. reduces latency minimizes chance loss during transmission closer source at network's edge have significant positive effect on healthcare, such faster reaction times, less strain centralized centers, better use available resources. will further mitigate needless exposure outside actors its transport thus solve some patients' privacy concerns concerning their clinical records.

Language: Английский

A Systematic Survey of Distributed Decision Support Systems in Healthcare DOI Creative Commons
Basem Almadani,

Hunain Kaisar,

Irfan Rashid Thoker

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(3), P. 157 - 157

Published: Feb. 26, 2025

The global Internet of Medical Things (IoMT) market is growing at a Compound Annual Growth Rate (CAGR) 17.8%, testament to the increasing demand for IoMT in health sector. However, more devices mean an increase volume and velocity data received by healthcare decision-makers, leading many develop Distributed Decision Support Systems (DDSSs) help them make accurate timely decisions. This research systematic review DDSSs using Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) framework. study explores how advanced technologies such as Artificial Intelligence (AI), IoMT, blockchain enhance clinical decision-making processes. It highlights key innovations DDSSs, including hybrid imaging techniques comprehensive disease characterization. also examines role Case-Based Reasoning (CBR) frameworks improving personalized treatment strategies chronic diseases like diabetes mellitus. presents challenges applying sector, security privacy, system integration, interoperability issues. Finally, it discusses open issues future directions field structure standardization, alert fatigue workers lack adherence emerging medical regulations.

Language: Английский

Citations

0
Regulatory Challenges and Frameworks for Fog Computing in Healthcare DOI Open Access
Naveen Jeyaraman, Swaminathan Ramasubramanian, Sankalp Yadav

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 13, 2024

The integration of fog computing into healthcare promises significant advancements in real-time data analytics and patient care by decentralizing processing closer to the source. This shift, however, introduces complex regulatory, privacy, security challenges that are not adequately addressed existing frameworks designed for centralized systems. distributed nature complicates uniform application measures compliance with diverse international regulations, raising concerns about vulnerabilities, legal accountability. review explores these depth, discussing implications computing's decentralized architecture difficulties achieving consistent across dispersed nodes, complexities ensuring multi-jurisdictional environments. It also examines specific regulatory frameworks, including Health Insurance Portability Accountability (HIPAA) United States, General Data Protection Regulation (GDPR) European Union, emerging laws Asia Brazil, highlighting gaps need evolution better accommodate nuances computing. advocates a proactive approach, emphasizing development guidelines, collaboration, public-private partnerships enhance support innovation. By embedding privacy design leveraging advanced technologies, providers can navigate landscape effectively, realizes its full potential as transformative technology without compromising trust or integrity.

Language: Английский

Citations

3
Edge and Fog Computing for Sustainability DOI

J. Refonaa,

M. Maheswari,

D. Poornima

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 79 - 108

Published: April 11, 2025

Sustainability-aligned environmental improvement is demanded by a number of international organizations, including UNO. Sustainability from an perspective means protecting the environment, reducing rate climate change, and promoting social advancement without endangering human life or leaving anyone behind. By meeting our present demands, this concept seeks to preserve resources for future generations. Adopted every United Nations member state in 2015, 2030 Agenda Sustainable Development offers common roadmap world peace prosperity both now future. The task made easier urgent need throw light on developing technology. Hence there emerged sustainable computing that focuses minimizing impact encouraging resource efficiency. It includes procedures guarantee efficiency friendliness creation application chapter discusses role recent technologies such as edge fog sustainability.

Language: Английский

Citations

0
Fog Computing for Next-Generation Healthcare DOI

Md Naiyar Imam,

Aftab Mansoori,

Abhilasha Priya

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 115 - 132

Published: April 17, 2025

Fog computing enhances data processing by improving patient care and acts as a bridge between cloud Internet of Things (IoT) devices in the healthcare domain. The objective is to handle with low-latency, it essential respond quickly various services like medical emergency. limitations traditional architectures are responsible for delays that distance network congestion can provoke cause great risk injury service quality deterioration, serving an impetus integrating fog health systems. reduces latency minimizes chance loss during transmission closer source at network's edge have significant positive effect on healthcare, such faster reaction times, less strain centralized centers, better use available resources. will further mitigate needless exposure outside actors its transport thus solve some patients' privacy concerns concerning their clinical records.

Language: Английский

Citations

0