An Android Application for Healthcare Management System with ML-driven Solution

The efficiency and accessibility of healthcare have greatly increased because of telemedicine, especially in the wake of major global health emergencies. However, the traditional healthcare system lacks advanced functionalities and an AI-driven approach for predictive analysis. This paper presents an Android application designed for healthcare management aiming to optimize patient-doctor interactions and enhance overall medical processes. The "Android Application for Health-care Management System" integrates functionalities to facilitate seamless communication and comprehensive care provision. Here, patients can easily browse and select doctors based on specialties and expertise, with detailed profiles aiding in informed decision-making. It also enables real-time communication, streamlining prescription delivery, and medication management. Moreover, the AI-driven solution uses machine learning for predictive analysis of heart diseases, enabling early detection and intervention. Be-sides, the administrative component allows authorized personnel to manage the system effectively, adding verified doctors, modifying information, and overseeing patient records. Hence, this application represents a paradigm shift towards transformative healthcare management solutions in the digital era over the traditional healthcare system.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/iccit64611.2024.11021962
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.71
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article

An Android Application for Healthcare Management System with ML-driven Solution

Md. Motaleb Hossen Manik, Asifur Rahman, Shahid Ahmed Sami, Atiqul Islam Atik
1 citations
Artificial Intelligence in Healthcare
0.71
article

An Android Application for Healthcare Management System with ML-driven Solution

Md. Motaleb Hossen Manik, Asifur Rahman, Shahid Ahmed Sami, Atiqul Islam Atik
article en
1 citations

Abstract

The efficiency and accessibility of healthcare have greatly increased because of telemedicine, especially in the wake of major global health emergencies. However, the traditional healthcare system lacks advanced functionalities and an AI-driven approach for predictive analysis. This paper presents an Android application designed for healthcare management aiming to optimize patient-doctor interactions and enhance overall medical processes. The "Android Application for Health-care Management System" integrates functionalities to facilitate seamless communication and comprehensive care provision. Here, patients can easily browse and select doctors based on specialties and expertise, with detailed profiles aiding in informed decision-making. It also enables real-time communication, streamlining prescription delivery, and medication management. Moreover, the AI-driven solution uses machine learning for predictive analysis of heart diseases, enabling early detection and intervention. Be-sides, the administrative component allows authorized personnel to manage the system effectively, adding verified doctors, modifying information, and overseeing patient records. Hence, this application represents a paradigm shift towards transformative healthcare management solutions in the digital era over the traditional healthcare system.

Khulna University of Engineering and Technology (BD)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Artificial Intelligence in Healthcare
0.71
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