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Clinical Decision Support

AI systems assisting healthcare providers with evidence-based treatment recommendations, diagnostic accuracy, and clinical workflow optimization. Includes alert systems, drug interaction checkers, and predictive analytics for improved patient outcomes and reduced medical errors.
Understanding NNT and NNH

Understanding NNT and NNH

Understanding the clinical metric and a transformative mindset: the Number Needed to Treat (NNT) and its companion, the Number Needed to Harm (NNH) and the implications for modern healthcare AI.
Dan Noyes 25 Jun 2025
Understanding ELSA

Understanding ELSA

ELSA is an internal generative AI tool developed by the FDA. Its primary objective is to enhance the efficiency and speed of regulatory processes by assisting FDA...
Dan Noyes 21 Jun 2025
Law Three in Clinical AI Healthcare Excellence

Law Three in Clinical AI Healthcare Excellence

Centering AI Development on Patient Outcomes and Experience: Law #3: Patient-First Foundation for Healthcare AI
Dan Noyes 04 Jun 2025

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