IRO Journals

Journal of IoT in Social, Mobile, Analytics, and Cloud

Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3

Design of Deep Learning Algorithm for IoT Application by Image based Recognition
Volume-3 | Issue-3

Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3

Health Record Management System – A Web-based Application
Volume-3 | Issue-4

A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3

IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2

Secure Data Sharing Platform for Portable Social Networks with Power Saving Operation
Volume-3 | Issue-3

Review of Internet of Wearable Things and Healthcare based Computational Devices
Volume-3 | Issue-3

Stock Index Prediction with Financial News Sentiments and Technical Indicators
Volume-4 | Issue-3

Hybrid Framework on Automatic Detection and Recognition of Traffic Display board Signs
Volume-3 | Issue-3

Suspicious Human Activity Detection System
Volume-2 | Issue-4

ROBOT ASSISTED SENSING, CONTROL AND MANUFACTURE IN AUTOMOBILE INDUSTRY
Volume-1 | Issue-3

EFFICIENT RESOURCE ALLOCATION AND QOS ENHANCEMENTS OF IOT WITH FOG NETWORK
Volume-1 | Issue-2

Live Streaming Architectures for Video Data - A Review
Volume-2 | Issue-4

IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2

Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3

A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3

IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
Volume-2 | Issue-1

Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3

Hybrid Intrusion Detection System for Internet of Things (IoT)
Volume-2 | Issue-4

Home / Archives / Volume-2 / Issue-3 / Article-3

Volume - 2 | Issue - 3 | september 2020

IoT based Clinical Sensor Data Management and Transfer using Blockchain Technology
Pages: 154-159
Published
08 July, 2020
Abstract

There has been revolutionary developments in the healthcare industry with the advancement of technology over the past years. Internet of Things, Cloud Computing, Blockchain technology, lab-on-chip, non-invasive and minimally invasive surgeries and so on has simplified several dreadful diseases. The research as well as healthcare industry have been greatly impacted by these new technologies. Clinical exams and self-health tracking can be done by means of miniaturized healthcare sensors that are powered by IoT. They help in early diagnosis and treatment guidance by clinicians at remote locations without directly being in contact with the users. The access control structures and inconsistent security policies have been a hinderance in meeting the security requirements of these data. Blockchain based smart contracts and enterprise-distributed ledger framework can be used for monitoring the vital signs of the patient. This enables accessing medical information of patients globally at any time along with immutable and extensive history log. In comparison with the traditional patient monitoring system, the proposed system offers better monitoring, improved connectivity and enhanced data security.

Keywords

Internet of Things Cloud Storage Blockchain technology Patient monitoring Data Security

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