Large language models for electronic health records in pediatric and surgical care: A systematic review

Key Points

• Large language models enhance electronic health records by improving data accessibility and accuracy—critical in pediatric and surgical contexts.
• The systematic review assesses various implementations of large language models and finds significant improvements in clinical decision-making.
• Assessment techniques involve analyzing electronic health record data across multiple studies to validate large language model applications.
• The findings indicate a need for further testing in real clinical settings to understand the full impact on patient outcomes.