Emergency Response Under Smart Healthcare: Analysis of Student Physical Examination Data Based on Iot Technology

In the context of informatization and networking, smart healthcare has become an important way to improve the efficiency and quality of medical services. This project aims to introduce IoT technology into campus prevention and control, student physical examinations, and other field. This article adopts an IoT technology that integrates multiple sensors to automatically collect physiological characteristics such as heart rate and blood pressure of students, and uploads them to a cloud computing platform through effective data transmission methods. Using data mining and other methods, conduct in-depth analysis of the collected big data to discover abnormal patterns of health behavior and potential health risks. The medical staff had the highest satisfaction rate with the system at 92%, indicating that the system performed very well in medical data management and emergency response. Through the depth of this study, it shows greater potential and significance in promoting scientific and accurate student health management and emergency response planning.

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Published
2024-08-23
DOI
https://doi.org/10.1145/3700486.3700513
Primary Topic
Advanced Technologies and Applied Computing
Type
article
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article

Emergency Response Under Smart Healthcare: Analysis of Student Physical Examination Data Based on Iot Technology

Ning Zhang
Advanced Technologies and Applied Computing
article

Emergency Response Under Smart Healthcare: Analysis of Student Physical Examination Data Based on Iot Technology

Ning Zhang
article en

Abstract

In the context of informatization and networking, smart healthcare has become an important way to improve the efficiency and quality of medical services. This project aims to introduce IoT technology into campus prevention and control, student physical examinations, and other field. This article adopts an IoT technology that integrates multiple sensors to automatically collect physiological characteristics such as heart rate and blood pressure of students, and uploads them to a cloud computing platform through effective data transmission methods. Using data mining and other methods, conduct in-depth analysis of the collected big data to discover abnormal patterns of health behavior and potential health risks. The medical staff had the highest satisfaction rate with the system at 92%, indicating that the system performed very well in medical data management and emergency response. Through the depth of this study, it shows greater potential and significance in promoting scientific and accurate student health management and emergency response planning.

Taizhou Vocational and Technical College (CN)
Openalex Percentile: Top 75%
Advanced Technologies and Applied Computing
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Emergency Response Under Smart Healthcare: Analysis of Student Physical Examination Data Based on Iot Technology — Ning Zhang · (2024) | TGRS Research Map | TGRS