AI news ·
Asan Medical Centre deploys private AI system to keep patient data off external networks
Asan Medical Centre launched an AI system running entirely on its own servers, with no internet connection, to keep patient data off external networks. Staff can query clinical guidelines and hospital documents without manual searches.
Asan Medical Centre Deploys Private AI System to Protect Patient Data
Asan Medical Centre has launched an artificial intelligence system that operates entirely on its internal servers, keeping patient information off external networks and cloud services.
The Private AI Knowledge Retrieval System runs on an isolated, closed network with no internet connection. This setup ensures that sensitive healthcare data never leaves the hospital's infrastructure.
The system combines a vector database with Retrieval Augmented Generation (RAG), an architecture that grounds AI responses in actual documents rather than relying solely on a model's training data. Generative AI and LLM systems using RAG produce answers based on stored clinical guidelines and operational documents.
This approach addresses a core problem with generative AI: hallucinations, where models generate plausible but false information. By tethering responses to real documents, the system reduces this risk.
For healthcare professionals, the practical benefit is immediate. Staff no longer manually search through extensive clinical guidelines or regulatory documents. The AI retrieves relevant information from the hospital's internal knowledge base.
Asan Medical Centre's implementation reflects growing interest in AI for Healthcare solutions that don't require sending patient data to third-party services. For hospitals managing sensitive information, private AI systems offer a way to adopt generative AI while maintaining control over where data resides.