A Smart System for Automated Medical Emergency Alerts

Automated alerting systems for medical emergencies leverage technology to detect, analyze and alert caregivers during health crises. By monitoring vital signs and environmental factors these systems can trigger emergency responses which can significantly improving patient outcomes [1]. This paper reviews recent advancements in automated alerting systems by focusing on methodologies utilizing machine learning, IoT integration and wearable technologies. The discussion includes comparisons of different approaches, results and future prospects into the scope of scalable systems for hospitals, nursing homes and home use.

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Publication Details

Journal
Computer Science & Engineering An International Journal
Published
2025-03-28
DOI
https://doi.org/10.5121/cseij.2025.15126
Primary Topic
Healthcare Technology and Patient Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

A Smart System for Automated Medical Emergency Alerts

Gopal Kaliyaperumal, K. G. Sudhier, Sevangthi Murthy
Computer Science & Engineering An International Journal
Healthcare Technology and Patient Monitoring
article

A Smart System for Automated Medical Emergency Alerts

Gopal Kaliyaperumal, K. G. Sudhier, Sevangthi Murthy
article en

Abstract

Automated alerting systems for medical emergencies leverage technology to detect, analyze and alert caregivers during health crises. By monitoring vital signs and environmental factors these systems can trigger emergency responses which can significantly improving patient outcomes [1]. This paper reviews recent advancements in automated alerting systems by focusing on methodologies utilizing machine learning, IoT integration and wearable technologies. The discussion includes comparisons of different approaches, results and future prospects into the scope of scalable systems for hospitals, nursing homes and home use.

Computer Science & Engineering An International JournalVol. 15(1)
Horizon College and Seminary (CA)
Openalex Percentile: Top 88%
Healthcare Technology and Patient Monitoring
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