From pilot to routine: the operational barriers to pathology AI at scale
An examination of the workflow, IT and change-management constraints that determine whether an AI deployment becomes standard of care.
A knowledge platform for healthcare AI decision-makers — not a blog. Written for executives, clinicians and investors.
An examination of the workflow, IT and change-management constraints that determine whether an AI deployment becomes standard of care.
Governance, sourcing, evaluation and monitoring — the four functions every provider needs before adopting clinical AI.
How to categorize clinical AI, platform AI and workflow AI when evaluating a fragmented and fast-moving market.
As AI becomes strategic infrastructure, the boundary between vendor and advisor must be clear — for providers and investors alike.
A framework for sequencing the technology choices that shape a pathology transformation program.
A structured assessment covering strategy, data, workflow, governance and organizational capability.
Most organizations reach for build/buy too early. A more useful lens for AI-native technologies.
Signals we look for when supporting technical and clinical due diligence on healthcare AI investments.
How the framing of AI as augmentation — not automation — shapes better deployment decisions.
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