Applications of IoT and Edge Computing in Medical Informatics for Real-Time Patient Monitoring

Particularly with regard to health issue prediction and patient monitoring in real time, edge computing, artificial intelligence, and the Internet of Things (IoT) are altering the healthcare industry. This paper investigates how these technologies may be used, what technological issues they could have, and how they might develop in the medical domain. Continuous patient vital sign monitoring made possible by Internet of Things (IoT) devices and monitors Low-latency data processing guaranteed by edge computing facilitates real-time decision-making by means of simplicity. By simplifying early assessment and tailored treatment regimens, AI-powered predictive analytics used at the edge dramatically enhances healthcare results. New technologies handle significant issues like security, scale, data privacy, and interoperability by means of bitcoin and 5G networks. This guarantees effective and safe data flow. For instance, the research underlines the importance of consistent standards and secure patient data processing for the use of emerging technologies in the healthcare environment. Healthcare will grow more integrated, efficient, and patient-centered as IoT, cloud computing, and artificial intelligence keep improving.

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Publication Details

Journal
Seminars in Medical Writing and Education
Published
2024-12-31
DOI
https://doi.org/10.56294/mw2024505
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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Applications of IoT and Edge Computing in Medical Informatics for Real-Time Patient Monitoring

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Applications of IoT and Edge Computing in Medical Informatics for Real-Time Patient Monitoring

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Abstract

Particularly with regard to health issue prediction and patient monitoring in real time, edge computing, artificial intelligence, and the Internet of Things (IoT) are altering the healthcare industry. This paper investigates how these technologies may be used, what technological issues they could have, and how they might develop in the medical domain. Continuous patient vital sign monitoring made possible by Internet of Things (IoT) devices and monitors Low-latency data processing guaranteed by edge computing facilitates real-time decision-making by means of simplicity. By simplifying early assessment and tailored treatment regimens, AI-powered predictive analytics used at the edge dramatically enhances healthcare results. New technologies handle significant issues like security, scale, data privacy, and interoperability by means of bitcoin and 5G networks. This guarantees effective and safe data flow. For instance, the research underlines the importance of consistent standards and secure patient data processing for the use of emerging technologies in the healthcare environment. Healthcare will grow more integrated, efficient, and patient-centered as IoT, cloud computing, and artificial intelligence keep improving.

Seminars in Medical Writing and EducationVol. 3
Jain University (IN), Siksha O Anusandhan University (IN), Noida International University (IN), Advanced Numerical Research and Analysis Group (IN), Chitkara University (IN)
Openalex Percentile: Top 67%
IoT and Edge/Fog Computing
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