Transformation notes
NDA-safe patterns from integrating, validating, and scaling AI in real systems—focused on responsible adoption and measurable outcomes.
Designing AI for the point of care
Patterns for making AI usable where decisions happen—without adding friction.
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AI at the point of use
Patterns that make embedded AI usable, trusted, and adopted in day-to-day clinical practice.
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From pilots to platforms
A maturity model for moving AI from isolated wins to durable capability.
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Configurability with standards
How to support global variation without making safety and accountability optional.