Chinese Electronic Medical Record

Research on Chinese Electronic Medical Records (EMRs) focuses on improving data analysis and clinical decision-making through advanced natural language processing (NLP) techniques. Current efforts concentrate on developing ontologies to standardize symptom terminology, integrating knowledge graphs with large language models to enhance diagnostic accuracy, and employing question-answering pipelines and deep learning models for comprehensive information extraction, including identifying missing diagnoses crucial for accurate DRG coding. These advancements aim to unlock the vast potential of EMR data for research and clinical practice, improving healthcare efficiency and patient outcomes.