Boston Children's Hospital Gains New Disease Diagnosis Capabilities with AI

Boston Children's Hospital has integrated AI not as a simple experimental tool, but as core clinical and operational infrastructure. Through this, the hospital is providing better care to pediatric patients with complex and rare conditions while reducing operational costs.

Previously, fragmented AI tool usage created limitations, but the hospital built an 'enterprise AI layer', a security-enhanced internal ChatGPT environment. This has enabled research, clinical, and administrative teams to rapidly develop and deploy new capabilities on a shared foundation.

Key achievements on the operational side include:

• Supply Chain Management: AI manages invoice receipt, routing, and responses.
• Surgical Scheduling: AI analyzes patient acuity to improve operating room utilization.
• Workflow Automation: More than 50 automated processes have saved 60,000 hours of work time, translating into a labor cost reallocation effect of over approximately $7 million.

AI also plays a decisive role in clinical and research areas. Medical staff use AI to summarize complex clinical information and support decision-making, resulting in the new diagnosis of over 40 rare diseases that had previously gone unresolved.