## Clinical Documentation Types

Medical documentation is divided into two main styles: structured data—organized into categories for easy analysis—and narrative text, which gives detailed, case-specific information. Structured formats support research and decision-making systems, while the narrative discharge summary helps guide post-hospital care and ensures doctors communicate important details

AI language models are being tested to automate discharge summaries in medical settings, but face significant challenges in accuracy and completeness.
- Doctors spend much time manually writing summaries, so automating this could save effort and reduce risks.
- Advanced AI models like LLaMA3 can create clinical summaries, but often make mistakes such as factual errors or missing important details.
- Better data, improved AI training, and feedback from medical professionals are needed to make these summaries more reliable in real-world use.

Automating German Discharge Summaries with Large Language Models