Hospitals are increasingly adopting AI tools, but are now purchasing them based on token usage rather than traditional licensing models. This shift, driven by the underlying architecture of large language models (LLMs), means that the cost of AI is becoming a significant line item for finance departments. While token prices have dramatically decreased, overall AI spending is rising due to factors like increased context window usage, the migration to more capable (and expensive) model tiers, and the need to resend accumulated context with each step in multi-step workflows. AI
IMPACT The shift to token-based pricing for AI tools could significantly alter budgeting and adoption strategies for healthcare organizations.
RANK_REASON Article discusses the economic implications and unit economics of AI adoption in healthcare, rather than a specific product release or research finding.
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