scholarly journals "Issues and Challenges of using Blockchain for IoT Data Management in Smart Healthcare"

2021 ◽  
Vol 40 (2) ◽  
Author(s):  
Andreas Kanavos
Keyword(s):  
Data Management ◽  
Smart Healthcare

scholarly journals OPTIMIZING TELEMEDICINE FRAMEWORK USING FOG COMPUTING FOR SMART HEALTHCARE SYSTEMS

2021 ◽  
Author(s):  
Michael Enbibel
Keyword(s):  
Data Management ◽  
Healthcare System ◽  
Data Flow ◽  
System Organization ◽  
Fog Computing ◽  
Healthcare Systems ◽  
Distributed Data ◽  
Smart Healthcare ◽  
Network Latency

This research is done for optimizing telemedicine framework by using fogging or fog computing for smart healthcare systems. Fog computing is used to solve the issues that arise on telemedicine framework of smart healthcare system like Infrastructural, Implementation, Acceptance, Data Management, Security, Bottleneck system organization, and Network latency Issues. we mainly used Distributed Data Flow (DDF) method using fog computing in order to fully solve the listed issues.

scholarly journals OPTIMIZING TELEMEDICINE FRAMEWORK USING FOG COMPUTING FOR SMART HEALTHCARE SYSTEMS

2021 ◽  
Author(s):  
Michael Enbibel
Keyword(s):  
Data Management ◽  
Healthcare System ◽  
Data Flow ◽  
System Organization ◽  
Fog Computing ◽  
Healthcare Systems ◽  
Distributed Data ◽  
Smart Healthcare ◽  
Network Latency

This research is done for optimizing telemedicine framework by using fogging or fog computing for smart healthcare systems. Fog computing is used to solve the issues that arise on telemedicine framework of smart healthcare system like Infrastructural, Implementation, Acceptance, Data Management, Security, Bottleneck system organization, and Network latency Issues. we mainly used Distributed Data Flow (DDF) method using fog computing in order to fully solve the listed issues.

Design of Smart Healthcare Data Management System Based on Hadoop

2014 ◽  
Vol 998-999 ◽  
pp. 1121-1124 ◽  
Author(s):  
Min Zhang ◽  
Ren Zhang ◽  
Cheng Sheng Liu
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Management System ◽  
Cloud Storage ◽  
Low Cost ◽  
Structural Data ◽  
Data Management System ◽  
Traditional Management ◽  
Healthcare Data ◽  
Smart Healthcare

This paper describes a smart healthcare data management system based on hadoop. Aiming at the disadvantage of Traditional management of medical data such as the increasing cost of consumption and the limited availability of the data, the smart healthcare data management system in this paper introduces a hybrid storage architecture including designs of Structured data storage which supported by RDBMS and Non-structural data storage which supported by Hadoop. This smart healthcare data management system has the advantages of low-cost, high fault tolerance, and scalability, and builds a cloud storage platform applied in the system of smart healthcare.

scholarly journals OPTIMIZING TELEMEDICINE FRAMEWORK USING FOG COMPUTING FOR SMART HEALTHCARE SYSTEMS

2021 ◽  
Author(s):  
Michael Enbibel
Keyword(s):  
Data Management ◽  
Healthcare System ◽  
Data Flow ◽  
System Organization ◽  
Fog Computing ◽  
Healthcare Systems ◽  
Distributed Data ◽  
Smart Healthcare ◽  
Network Latency

This research is done for optimizing telemedicine framework by using fogging or fog computing for smart healthcare systems. Fog computing is used to solve the issues that arise on telemedicine framework of smart healthcare system like Infrastructural, Implementation, Acceptance, Data Management, Security, Bottleneck system organization, and Network latency Issues. we mainly used Distributed Data Flow (DDF) method using fog computing in order to fully solve the listed issues.

Health Informatics: Handle with Caution

1997 ◽  
Vol 36 (02) ◽  
pp. 79-81
Author(s):  
V. Leroy ◽  
S. Maurice-Tison ◽  
B. Le Blanc ◽  
R. Salamon
Keyword(s):  
Health Care ◽  
Data Management ◽  
Medical Informatics ◽  
Health Care Professionals ◽  
Data Security ◽  
Health Informatics ◽  
The Other ◽  
Inappropriate Use

Abstract:The increased use of computers is a response to the considerable growth in information in all fields of activities. Related to this, in the field of medicine a new component appeared about 40 years ago: Medical Informatics. Its goals are to assist health care professionals in the choice of data to manage and in the choice of applications of such data. These possibilities for data management must be well understood and, related to this, two major dangers must be emphasized. One concerns data security, and the other concerns the processing of these data. This paper discusses these items and warns of the inappropriate use of medical informatics.

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