This research evaluates how effectively AI tools can generate high-quality clinical documentation for pediatric rehabilitation, potentially reducing administrative burden for healthcare providers.

• Assessed two AI systems: commercial LLM (Copilot) and a custom-tuned model (KAUWbot) for pediatric rehabilitation documentation
• Analyzed quality of AI-generated SOAP notes against professional documentation standards
• Identified strengths and limitations of current LLM capabilities in specialized medical contexts
• Demonstrated promising potential for reducing documentation time while maintaining clinical quality

Medical Impact: By streamlining the creation of complex documentation in pediatric rehabilitation settings, this research addresses a significant pain point for clinicians, potentially allowing more time for direct patient care while maintaining documentation quality.

Assessment of AI-Generated Pediatric Rehabilitation SOAP-Note Quality