INTELLIGENT FAMILY HEALTH MONITORING FRAMEWORK

The swift progress of digital healthcare technologies has created opportunities for intelligent systems that aid in proactive health management.This paper presents an Intelligent Family Health Monitoring Framework that is capable of continuously recording and analysing vital parameters such as heart rate, blood pressure, and body temperature for all family members.The framework employs a rule-based threshold algorithm to assess readings and categorize them as normal or abnormal, delivering immediate status updates via an interactive interface.By maintaining consolidated health records, it supports long-term monitoring and the early detection of potential risks.The intelligent architecture of the system also guarantees scalability, adaptability to diverse health conditions, and compatibility with future AI-driven predictive models.Evaluation results underscore its efficacy in reliably identifying abnormalities, ensuring prompt intervention, and improving overall family healthcare management.This study advances digital health innovation by providing a real-time, precise, and user-friendly framework that enhances preventive healthcare and fosters healthier living among families.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2025-09-04
DOI
https://doi.org/10.56726/irjmets82554
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
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article

INTELLIGENT FAMILY HEALTH MONITORING FRAMEWORK

International Research Journal of Modernization in Engineering Technology and Science
Technology and Data Analysis
article

INTELLIGENT FAMILY HEALTH MONITORING FRAMEWORK

article en

Abstract

The swift progress of digital healthcare technologies has created opportunities for intelligent systems that aid in proactive health management.This paper presents an Intelligent Family Health Monitoring Framework that is capable of continuously recording and analysing vital parameters such as heart rate, blood pressure, and body temperature for all family members.The framework employs a rule-based threshold algorithm to assess readings and categorize them as normal or abnormal, delivering immediate status updates via an interactive interface.By maintaining consolidated health records, it supports long-term monitoring and the early detection of potential risks.The intelligent architecture of the system also guarantees scalability, adaptability to diverse health conditions, and compatibility with future AI-driven predictive models.Evaluation results underscore its efficacy in reliably identifying abnormalities, ensuring prompt intervention, and improving overall family healthcare management.This study advances digital health innovation by providing a real-time, precise, and user-friendly framework that enhances preventive healthcare and fosters healthier living among families.

International Research Journal of Modernization in Engineering Technology and Science
Openalex Percentile: Top 65%
Technology and Data Analysis
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