In emergency healthcare, getting the right patient information fast can make all the difference. Doctors and nurses need details like blood type, allergies, current medications, past surgeries, lab results you name it. When a patient has a long and complicated medical history, it can take precious minutes just to find the most important facts. This paper introduces an Enhanced QR-Based Emergency Medical Information Retrieval System that uses AI to help summarize patient records. Here’s how it works: Each patient gets a unique QR code linked to their secure digital profile. When needed, authorized doctors simply scan the code with a web app and instantly access the patient’s medical information. If the records are bulky and full of complex details no problem. The system includes an AI-assisted module that lets doctor input large blocks of text. The AI processes all that data and spits out a summary highlighting what really matters. As for medical images like X-rays, CTs, or MRIs they’re stored and available for viewing, but the AI doesn’t attempt to analyze or summarize them. The paper also compares this QR code-based approach to the usual, slower methods of retrieving medical records. It evaluates how well the system works by looking at the accuracy, completeness, relevance, and clarity of the summaries it generates

Keywords— Emergency Healthcare, QR Code Retrieval, AI Summarization, Electronic Health Records, Natural Language Processing, Patient Profiles