Medical Economics December 23, 2024
Todd Shryock

Key Takeaways

  • AI tools can efficiently analyze unstructured EHR data, identifying treatment gaps and trends in ADHD management.
  • The AI model revealed variations in pediatric practices, such as inconsistent inquiries about ADHD medication side effects.
  • Despite AI’s strengths, limitations include potential misclassification and incomplete EHR documentation.
  • AI can augment clinical decision-making but requires ethical considerations and bias mitigation to complement medical practice.

Stanford researchers develop AI tool to analyze doctors’ notes to save time and improve care

Physicians and researchers at Stanford Medicine have harnessed artificial intelligence to analyze vast troves of doctors’ notes in EHRs. Their findings, published in Pediatrics on Dec. 19, demonstrate how AI tools can identify gaps in treatment, such as inconsistent follow-up care,...

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Topics: AI (Artificial Intelligence), EMR / EHR, Health IT, Patient / Consumer, Provider, Technology
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