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Intelligent IoT Healthcare Applications Powered by Blockchain Technology
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The fusion of artificial intelligence (AI) with the Internet of Things (IoT)
marks a significant advancement in enhancing conventional healthcare systems across
various domains, such as monitoring vital signs and patient behaviors. IoT sensors
collect extensive information, which is then processed by AI platforms for informed
decision-making. However, the pivotal challenges of privacy and security loom large,
demanding robust protective measures for patient data against unauthorized access.<br><br>While access control has conventionally been employed to address these concerns, a
more effective solution lies in leveraging blockchain technology. Consequently, the
integration of IoT-based healthcare monitoring with blockchain emerges as a
compelling technological innovation, offering a promising avenue to alleviate security
and privacy apprehensions associated with data collection. This chapter introduces an
architectural framework designed to gather, store, analyze, facilitate intelligent
decision-making, and safeguard data using blockchain technology.
<br><br>The proposed architecture harnesses the computational power derived from the synergy
of IoT, blockchain, and artificial intelligence. It represents a versatile solution
applicable across a broad spectrum of healthcare optimization initiatives, showcasing
the potential to revolutionize and optimize healthcare systems.
<br><br>The purpose of this study is to harness the power of artificial intelligence, IoT, and
blockchain technology in making a system capable of enhancing the healthcare system.
Further, the study presents an architecture that, if implemented, can help optimize the
healthcare systems.
<br><br>An architecture-based approach with AI, IoT, and blockchain techniques will be
followed in designing architecture that can solve the integrated issues of data privacy
and security that occur in healthcare systems.<br><br>A systematic architecture will be generated to tackle the healthcare industry problem.
Systematic study and architecture will serve as a platform for new research and
application development.
Title: Intelligent IoT Healthcare Applications Powered by Blockchain Technology
Description:
The fusion of artificial intelligence (AI) with the Internet of Things (IoT)
marks a significant advancement in enhancing conventional healthcare systems across
various domains, such as monitoring vital signs and patient behaviors.
IoT sensors
collect extensive information, which is then processed by AI platforms for informed
decision-making.
However, the pivotal challenges of privacy and security loom large,
demanding robust protective measures for patient data against unauthorized access.
<br><br>While access control has conventionally been employed to address these concerns, a
more effective solution lies in leveraging blockchain technology.
Consequently, the
integration of IoT-based healthcare monitoring with blockchain emerges as a
compelling technological innovation, offering a promising avenue to alleviate security
and privacy apprehensions associated with data collection.
This chapter introduces an
architectural framework designed to gather, store, analyze, facilitate intelligent
decision-making, and safeguard data using blockchain technology.
<br><br>The proposed architecture harnesses the computational power derived from the synergy
of IoT, blockchain, and artificial intelligence.
It represents a versatile solution
applicable across a broad spectrum of healthcare optimization initiatives, showcasing
the potential to revolutionize and optimize healthcare systems.
<br><br>The purpose of this study is to harness the power of artificial intelligence, IoT, and
blockchain technology in making a system capable of enhancing the healthcare system.
Further, the study presents an architecture that, if implemented, can help optimize the
healthcare systems.
<br><br>An architecture-based approach with AI, IoT, and blockchain techniques will be
followed in designing architecture that can solve the integrated issues of data privacy
and security that occur in healthcare systems.
<br><br>A systematic architecture will be generated to tackle the healthcare industry problem.
Systematic study and architecture will serve as a platform for new research and
application development.
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