Boston Children’s diagnosed 40 rare diseases by treating ChatGPT as infrastructure
boston children’s integrated an enterprise ai layer using secure chatgpt, diagnosing over 40 previously unresolved rare conditions while cutting costs. this shifts ai from experimental tools to critical clinical infrastructure.
boston children’s hospital moved beyond one-off ai tools to build an enterprise ai layer using secure chatgpt, now used by over one-third of its staff daily. the system successfully diagnosed more than 40 rare conditions that had previously gone unresolved and optimized supply chain and surgical scheduling workflows to reduce operational burdens. this approach tackles the 'human cognitive limits' faced by physicians and administrative staff, redeploying labor to higher-value work by automating repetitive tasks. the model demonstrates how treating ai as core infrastructure rather than a peripheral experiment can improve patient access and diagnostic accuracy.