| Description | Paper-based health records are still widely used in many healthcare settings, creating challenges such as inefficiency, data loss, and limited accessibility. Digitising these records is critical for improving patient care and enabling secure, data-driven healthcare systems.
This project explores how Generative Artificial Intelligence (AI) can enhance the digitisation process. You will design and implement a solution that uses generative models to accurately extract, interpret, and structure information from scanned health documents. The system should address key issues such as handling handwritten notes, medical terminology, and ensuring privacy compliance. The goal is to create an intelligent, scalable approach that transforms paper records into usable digital data for integration with Electronic Health Record (EHR) systems. |