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Author :
Mrs.A.Praveena, Rikshitha G, Sreevarshini R, Srinithi R.Published Date :
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Page No: 1 - 7
Abstract : Chronic illnesses such as diabetes, cardiovascular diseases, cancer, and mental health disorders are
increasingly contributing to the global health burden, requiring consistent monitoring, timely intervention, and
patient-centric care. Traditional healthcare systems often fall short in addressing these needs due to challenges
such as limited access, delayed appointments, and minimal patient engagement between visits. Chronic Connect
is a smart healthcare application designed to bridge these gaps through the integration of artificial intelligence
(AI) and mobile technology. The app facilitates early detection and management of chronic diseases by analyzing
user-input health parameters to predict potential health risks. Its intuitive design ensures accessibility for a wide
demographic, including the elderly and users with limited digital literacy. The AI-powered engine continuously
learns and adapts to individual health trends, offering personalized insights and encouraging timely medical
consultations. Additionally, the platform supports patient education, remote monitoring, and real-time data
sharing with healthcare providers, thus fostering a collaborative healthcare ecosystem. By empowering users to
take control of their health and enabling providers to deliver proactive care, Chronic Connect aligns with the
modern principles of preventive, participatory, and personalized medicine. Its scalability and adaptability make
it a valuable tool in both urban and rural healthcare settings. Overall, Chronic Connect exemplifies how digital
innovation can transform chronic disease management, reduce healthcare disparities, and improve health
outcomes.
Keyword Chronic disease management, Artificial intelligence in healthcare, Mobile health app, Early
detection, Personalized medicine.