A Small e-Health Care Information System with Agent Technology

Subalakshmi, R.; Das, Arijit; Iyengar, N. Ch. S. N.

doi:10.1109/cicn.2011.14

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Cited by 6 publications

(2 citation statements)

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“…There has been a growing interest to application of agent-based systems in healthcare [12,20,21,[23][24][25][26][27] because of the increasing size and complexity of medical systems and urgent need of their efficient management in distributed environment. Zheng and Li [22] proposed a framework to integrate medical information resources using agent and XML.…”

Section: Related Workmentioning

confidence: 99%

Framework Architecture for Improving Healthcare Information Systems using Agent Technology

Al-Sakran¹

2015

IJMIT

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Section: Related Workmentioning

confidence: 99%

Framework Architecture for Improving Healthcare Information Systems using Agent Technology

Al-Sakran¹

2015

IJMIT

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“…A Multi-Agent System for small e-Health care organization has been introduced by [7]. This paper uses JADE as an agent-oriented framework for building e-Health system, and points out that the adding of agent features allow the e-health system to be more intelligent, flexible, and active.…”

Section: Related Workmentioning

confidence: 99%

SEAIoT: Scalable E-Health Architecture based on Internet of Things

Said¹,

Tolba²

2012

IJCA

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In this paper, a scalable e-health architecture based on the Internet of Things (IoT) technology is proposed. In this suggested architecture, the clinic hardware can communicate with other clinics' hardware remotely with minimal or no human intervention, which is a key difference between the proposed architecture and the former ones. The idea of our architecture is to use the internet as a communication media between different architecture hardware. Each hardware clinic should be adapted to receive its required information from the internet. Using our system will provide the medical specialists with advantages such as scalability and flexibility. Furthermore, the cost and the effort will be decreased. The processes in our proposed architecture are executed on advanced medical devices in real time mode, which maximize the diagnosis accuracy and minimize the processing time. Finally, a case study, which is related to 2D and 4D ultrasonography devices, is demonstrated to clarify our architecture.

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