Page 43 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD)
Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies
Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470

Improving Community Health with DigiVision:
Multi-Disease Diagnosis for Greater Public Awareness

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Munishwar Game , Kejal Rokde , Prof. Poonam Kale ,
Prof. Shweta Wase , Prof. Anupam Chaube
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1,2,3,4,5 Department of Science and Technology,
1,2,3,4 G H Raisoni Institute of Engineering and Technology, Nagpur, Maharashtra, India
5 G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, India

ABSTRACT interface to address the pressing health needs of diverse
Advancements in digital healthcare technologies offer populations. By enabling the simultaneous detection of
transformative opportunities to improve community health multiple diseases, DigiVision reduces diagnostic
outcomes. This paper introduces DigiVision, an innovative inefficiencies and ensures timely medical intervention. This
multi-disease diagnostic platform designed to enhance is particularly impactful in resource-limited settings, where
public awareness and facilitate early detection of prevalent healthcare infrastructure is often stretched thin.
diseases. DigiVision employs advanced artificial intelligence
Beyond diagnostics, DigiVision emphasizes the importance of
(AI) and machine learning (ML) algorithms, paired with a
public health awareness. The platform integrates educational
user-friendly interface, to provide accurate, real-time resources to empower individuals with knowledge about
diagnoses for multiple health conditions such as diabetes,
disease prevention, management strategies, and the value of
hypertension, respiratory illnesses, and infectious diseases.
regular health check-ups. By fostering informed health
By integrating DigiVision into community health programs, behaviors, DigiVision seeks to create a proactive approach to
individuals gain access to affordable and accessible healthcare within communities.
diagnostic tools, enabling proactive health monitoring and
In this paper, we explore DigiVision’s technological
timely medical intervention. The platform also provides
framework, its deployment strategies, and its role in
educational resources tailored to diverse populations,
addressing health disparities. By leveraging AI to improve
fostering awareness of disease prevention, management
diagnostics and public awareness, DigiVision represents a
strategies, and the importance of regular health check-ups.
significant step forward in global health equity, aiming to
DigiVision’s scalability and adaptability make it ideal for
transform how communities access and interact with
deployment in resource-limited settings, empowering
healthcare systems.
underserved communities to take charge of their health.
2. Conceptual Framework
This paper discusses the technological framework,
community-driven deployment strategies, and the potential DigiVision’s conceptual framework is built upon three core
societal impact of DigiVision, emphasizing its role in pillars—Technological Innovation, Public Awareness, and
addressing health disparities and promoting equitable Community-Centric Deployment. These pillars are
designed to work synergistically, creating a robust system
access to essential healthcare services. The findings
that addresses health disparities while fostering a culture of
underscore DigiVision’s promise as a catalyst for improved
proactive health management.
public health and a model for integrating AI-driven
solutions in global healthcare ecosystems. A. Technological Innovation

 AI-Driven Diagnostics: At the heart of DigiVision is an
KEYWORDS: Public Health Awareness, Disease Diagnosis, AI-powered diagnostic engine capable of identifying
Health Education, Preventive Healthcare, Early Detection, multiple diseases from diverse datasets. The platform
Technology in Healthcare, Artificial Intelligence (AI), Machine leverages machine learning algorithms to deliver
Learning, Telemedicine, Wearable Health Devices accurate and efficient results, ensuring reliable
performance in a variety of clinical and non-clinical
1. INTRODUCTION settings.
The rapid evolution of artificial intelligence (AI) and machine  Interoperability and Scalability: DigiVision’s design is
learning (ML) has revolutionized healthcare delivery modular and adaptable, allowing it to integrate with
worldwide. These technologies play a crucial role in early existing healthcare systems and scale to accommodate
diagnosis, disease prevention, and personalized treatment. additional diseases and regions.
However, despite their potential, access to these advanced
tools remains uneven, with many underserved communities  User-Friendly Interface: A mobile-first approach
lacking the resources to benefit from these innovations. ensures accessibility for users, including those in
Bridging this gap is vital for achieving equitable healthcare resource-limited settings, while maintaining ease of use
outcomes globally. for healthcare providers.
DigiVision emerges as a solution to this challenge. Designed B. Public Awareness
as a scalable, AI-powered platform, DigiVision combines  Health Education: DigiVision includes an integrated
cutting-edge diagnostic capabilities with a user-friendly educational module that provides tailored health

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