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AI Crunches Clinical Notes to Highlight Care Improvement Opportunities
Inside Precision Medicine December 23, 2024
A large language model (LLM) can measure the quality of primary care and flag areas for improvement among children prescribed medication for attention deficit hyperactivity disorder (ADHD), using the vast quantities of information stored in clinical notes.
The open-source LLaMA model, described in Pediatrics, was able to assess how closely side effects were being monitored after the prescription of ADHD medications and how well clinicians adhered to practice guidelines.
“The model showed excellent performance in identifying notes that contained documentation of side effects inquiry,” said researcher Yair Bannett, MD, an assistant professor of pediatrics at Stanford.
Traditional methods for capturing clinical practice such as chart reviews are labor intensive and not conducive to real-time improvements, explained Bannett.
LLMs are a...
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