Boston Children’s Hospital Uses AI to Unlock New Diagnoses
Adopt an enterprise AI layer with secure internal ChatGPT environment and governance to enable operational and clinical AI use.
Adopt an enterprise AI layer with secure internal ChatGPT environment and governance to enable operational and clinical AI use.
Summary
Boston Children’s Hospital has built a secure internal ChatGPT environment that spans research, clinical, and administrative teams, turning AI into a core part of its infrastructure.
The enterprise AI layer enabled more than 60,000 hours of time savings and over $7 million in redeployed labor by automating invoice intake, surgical scheduling, and decision support workflows. The hospital also leveraged AI for rare‑disease diagnosis, producing 40+ previously unresolved diagnoses and identifying new gene targets. More than a third of employees now use AI daily, and governance structures ensure safety, monitoring, and consistent evaluation. Rapid deployment of 50+ automations has shortened development cycles from weeks to days, allowing teams to respond quickly to operational and clinical needs. The initiative demonstrates that embedding AI at scale can reduce workload, improve access to care, and accelerate scientific discovery. Boston Children’s plans to expand AI into broader clinical decision‑making and research workflows underscore the potential of enterprise AI in healthcare.
Key changes
- Built a secure internal ChatGPT environment spanning research, clinical, and administrative teams.
- Automated invoice intake, surgical scheduling, and decision support, saving 60,000 hours and $7 M+ labor.
- Enabled 40+ rare‑disease diagnoses and identified new gene targets.
- Over one‑third of employees use AI daily, supported by governance structures.
- Rapid deployment of 50+ automations shortened development cycles from weeks to days.
- AI used for drafting documents, coding, and cohort building in research.
- Integrated AI into operational workflows to improve access to care.
- Plans to expand AI into broader clinical decision‑making and research workflows.