This study presents a high-quality bilingual (English and Korean) medical corpus to support large-scale language models in healthcare. Data from four major hospitals in Korea were converted to Markdown and organized in JSON for efficient use. Evaluation metrics ensured consistency and reliability. The corpus serves as an open, multilingual resource for developing medical LLMs.