INTELLIGENT HEALTH HUB
An AI-powered healthcare platform called Intelligent Health Hub was created to close the communication gap between patients and physicians by offering real-time health monitoring,supports telemedicine and remote monitoring via Long Short-Term Memory (LSTM) networks. personalized advice, and sophisticated medical analysis. The system analyzes medical data, forecasts health risks, and produces personalized therapy insights by utilizing Artificial Intelligence (AI) and Machine Learning (ML). Users can upload and scan medical records, such as ECG reports and X-rays, which are then evaluated using Convolutional Neural Networks (CNNs) to look for anomalies. An intelligent chatbot that answers users' medical questions and provides real-time guidance and health suggestions is powered by natural language processing, or NLP. The technology streamlines medical record management and appointment scheduling by integrating dashboards for doctors and patients. While Google Maps integration makes it easier to navigate hospitals during emergencies, a notification system guarantees timely information and reminders. In order to improve ongoing healthcare interaction, the system also Intelligent Health Hub enhances healthcare accessibility, facilitates effective doctor-patient communication, and provides patients with actionable knowledge by encouraging proactive health management. To support early diagnosis and preventive treatment, the system offers doctor referrals, tailored medication recommendations, and predictive analytics. Clinical decision-making is optimized by its AI-driven automation, which lowers human error and enhances patient outcomes. By incorporating cutting-edge deep learning algorithms, protecting data with encryption, and providing an intuitive user interface for easy navigation, Intelligent Health Hub advances digital healthcare. This technology- driven strategy improves healthcare services' efficiency, lessens the workload for medical staff, and brings high-quality healthcare to neglected and remote locations. With its clever and data-driven insights, the system is a game- changer for contemporary transforming patient care.
Authors
- B - Tamilselvi.
- Hamsa geetha K V -
- M - Soundarya
- M - Umamaheshwari
Publication Details
- Journal
- International Journal on Science and Technology
- Published
- 2025-04-13
- DOI
- https://doi.org/10.71097/ijsat.v16.i2.3127
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00