Integrating IoT and AI for Real-Time Patient Monitoring

The combination of IoT plus Artificial Intelligence AI is altering the way of monitoring patients in the healthcare industry with advanced and appropriate care facilities. The role of wearable devices cannot be avoided in this manner as these devices are used to collect patient information like heartbeat, glucose levels as well as other important health - related symptoms. With this practice, it is possible to get early signs of unusual health conditions to provide improved suggestions and health plans. This also helps in reducing the burden of unnecessary visits of patients to hospitals. With the help of IoT devices, AI uses its machine learning plus predictive analytics to evaluate large volumes of patient data. Algorithms based on AI can easily detect different patterns and highlight probable health risks like heart attacks or complex issues of diabetic patients. This facilitates the medical staff to play their role in early preventions. In addition, these approaches may also be organized for individuals by considering their data to suggest and plan health treatments accordingly. The combination of both IoT Plus AI presents impressive growth in the medical field as it offers numerous benefits in distinct manners including the outcomes of patients as well as the overall performance of medical systems. Therefore, the standing of using these technologies cannot be overlooked significantly in the revolution of the modern Healthcare industry.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2024-12-06
DOI
https://doi.org/10.21275/sr241130160155
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

Integrating IoT and AI for Real-Time Patient Monitoring

Saurabh Gupta
International Journal of Science and Research (IJSR)
IoT and Edge/Fog Computing
article

Integrating IoT and AI for Real-Time Patient Monitoring

Saurabh Gupta
article en

Abstract

The combination of IoT plus Artificial Intelligence AI is altering the way of monitoring patients in the healthcare industry with advanced and appropriate care facilities. The role of wearable devices cannot be avoided in this manner as these devices are used to collect patient information like heartbeat, glucose levels as well as other important health - related symptoms. With this practice, it is possible to get early signs of unusual health conditions to provide improved suggestions and health plans. This also helps in reducing the burden of unnecessary visits of patients to hospitals. With the help of IoT devices, AI uses its machine learning plus predictive analytics to evaluate large volumes of patient data. Algorithms based on AI can easily detect different patterns and highlight probable health risks like heart attacks or complex issues of diabetic patients. This facilitates the medical staff to play their role in early preventions. In addition, these approaches may also be organized for individuals by considering their data to suggest and plan health treatments accordingly. The combination of both IoT Plus AI presents impressive growth in the medical field as it offers numerous benefits in distinct manners including the outcomes of patients as well as the overall performance of medical systems. Therefore, the standing of using these technologies cannot be overlooked significantly in the revolution of the modern Healthcare industry.

International Journal of Science and Research (IJSR)Vol. 13(12)
Openalex Percentile: Top 75%
IoT and Edge/Fog Computing
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Integrating IoT and AI for Real-Time Patient Monitoring — Saurabh Gupta · International Journal of Science and Research (IJSR) (2024) | TGRS Research Map | TGRS