Boston Children’s uses AI to unlock new diagnoses

Boston Children’s Hospital has strategically embedded AI across its organization, not merely as an experimental tool, but as a fundamental component of its clinical and operational infrastructure. This integration aims to enhance the delivery of pediatric care, especially for children with complex and rare conditions, while simultaneously improving organizational efficiency and reducing costs. The hospital, one of the world's largest pediatric institutions, faces common healthcare challenges such as financial constraints and administrative burdens. AI addresses these by streamlining repetitive tasks and optimizing operational workflows.

One of the most significant impacts of AI has been in diagnosing rare diseases. Clinical teams often struggle with fragmented genetic data, incomplete medical histories, and an overwhelming volume of literature. Boston Children’s developed a "co-pilot geneticist" AI system that integrates genetic information, phenotypic data, and global medical literature. This system has already led to over 40 rare disease diagnoses that were previously impossible, offering answers and new treatment directions to families who had lost hope.

The hospital’s approach shifted from isolated AI tools to an enterprise-wide AI layer, creating a secure internal environment accessible to research, clinical, and administrative teams. This strategic move accelerated innovation, enabling the rapid deployment of new AI capabilities. More than a third of the hospital's employees now utilize AI in their daily work across various functions, from supply chain management to surgical scheduling and clinical decision support.

Boston Children’s has achieved substantial operational efficiencies through AI. By automating over 50 processes, the hospital has saved approximately 60,000 hours of labor, equivalent to over $7 million in redeployed staff time. This focus on making AI relevant to everyday tasks, rather than a standalone initiative, has been crucial to its successful adoption and integration.

The future of AI at Boston Children’s involves deeper integration into clinical decision-making, broader adoption across all specialties, and continuous refinement through collaborations. The leadership envisions AI as an indispensable part of modern medical practice, combining human expertise with vast medical knowledge to revolutionize healthcare delivery and discovery, ultimately providing hope to countless families.