LLMD: A Large Language Model for Interpreting Longitudinal Medical Records is a paper that introduces a language model trained on a vast corpus of medical records to analyze patients' medical histories effectively. The model, named LLMD, is fine-tuned for tasks such as normalizing metadata and abstracting high-level representations, with an emphasis on patient care data over a decade-long period from up to 140 care sites. The study demonstrates that LLMD outperforms both general and domain-specific models, providing notable improvements in interpreting real-world patient data.