Asan Medical Center has launched an AI-driven knowledge search system that operates entirely on a private, on-premises network, the Seoul-based hospital said. The tool runs in a closed environment disconnected from the public internet, designed to let clinicians and staff query institutional knowledge without exposing sensitive data to external services. AMC’s IT team developed the system in-house to prioritize data privacy and compliance while introducing generative search capabilities within the hospital.
The deployment underscores a growing healthcare trend toward localized AI to reduce patient-data risk while accelerating clinical decision support and internal research. Hospitals adopting closed-network models can limit external exposure but may face tradeoffs in accessing up-to-date external models and datasets. AMC’s rollout highlights operational pathways for health systems seeking AI benefits alongside strict privacy controls.
