
| Title of the Project |
MediSync: The Medical Hub Platform - A Step Towards Ease and Connectivity |
| Students Details |
202110620 Abdelrahman Sobeih |
| Abstract |
AI and LLM advancements create a favorable environment that allows healthcare systems to improve their reach, operational efficiency, and decision-making capabilities. This project presents MediSync as a data-powered medical platform that links denominations of healthcare institutions while uniting patients with insurance coverage providers and pharmaceutical organizations. The core element of MediSync depends on patient data optimization in a medically specific LLM, which provides precise medical insights and manages appointments and prescriptions, as well as supports emergency medical needs with real-time information about hospitals through the model, connected and providing tasks easily and efficiently. This project utilizes a systematic framework starting from the medical system, which needs evaluation and subsequent AI optimization activities before healthcare infrastructure adoption. System usability, together with LLM accuracy and response efficiency, are key elements of the evaluation program that guarantee user-friendly operations. MediSync proves how AI technology enables medical care transformation by fixing healthcare system problems while cutting down bureaucracy and broadening patient access to medical services. The platform will investigate upcoming enhancements dedicated to data privacy and predictive healthcare analytics to extend its platform capabilities. |