Achieving Intelligent, Connected Health Systems through the Use of AI and the Internet of Things to Enhance Healthcare

The integration of AI and the IoT in healthcare holds radical potential to improve enduring care, optimise working efficiency, and enable active disease treatment. The healthcare system remains being redefined as a consequence of this integration. This article presents advances in edge computing, understandable AI, and block chain for data security. The goal is to overcome important challenges including data security, interoperability, and user acceptance. By the help of real-time nursing and prognostic analytics, predictive healthcare—made possible by the mixture of AI and the Internet of Things—meaningfully enhances the organization of chronic diseases and preemptive treatment. Topics covered include decentralised data encryption, augmented patient interaction, and customised healthcare, amongst others. The article travels the present and upcoming of AI-IoT meeting. As a result of tenacious investment in AI and IoT investigation and development, more intelligent and unified healthcare systems are in the works, which augurs well for the future of healthcare distribution in terms of efficiency and quality. In order to maximise the benefits of AI and IoT in healthcare improving patient consequences while reducing costs—this essay accomplishes by emphasising the meaning of collaboration, innovation, and strategic implementation.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-05-01
DOI
https://doi.org/10.52783/jisem.v10i41s.7811
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Achieving Intelligent, Connected Health Systems through the Use of AI and the Internet of Things to Enhance Healthcare

Ezzat Mansour
Journal of Information Systems Engineering & Management
Big Data and Business Intelligence
article

Achieving Intelligent, Connected Health Systems through the Use of AI and the Internet of Things to Enhance Healthcare

Ezzat Mansour
article en

Abstract

The integration of AI and the IoT in healthcare holds radical potential to improve enduring care, optimise working efficiency, and enable active disease treatment. The healthcare system remains being redefined as a consequence of this integration. This article presents advances in edge computing, understandable AI, and block chain for data security. The goal is to overcome important challenges including data security, interoperability, and user acceptance. By the help of real-time nursing and prognostic analytics, predictive healthcare—made possible by the mixture of AI and the Internet of Things—meaningfully enhances the organization of chronic diseases and preemptive treatment. Topics covered include decentralised data encryption, augmented patient interaction, and customised healthcare, amongst others. The article travels the present and upcoming of AI-IoT meeting. As a result of tenacious investment in AI and IoT investigation and development, more intelligent and unified healthcare systems are in the works, which augurs well for the future of healthcare distribution in terms of efficiency and quality. In order to maximise the benefits of AI and IoT in healthcare improving patient consequences while reducing costs—this essay accomplishes by emphasising the meaning of collaboration, innovation, and strategic implementation.

Journal of Information Systems Engineering & ManagementVol. 10(41s)
King Abdulaziz University (SA)
Openalex Percentile: Top 85%
Big Data and Business Intelligence
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