Hard-to-find Knowledge
SOPs, patient-ed materials, and policy updates are scattered across systems. Staff make phone calls and cross-checks to confirm.
Turn hospital documents, patient education materials, and workflow guides into a searchable, multilingual, voice-responsive AI assistant—deployed on-premise for greater privacy and control.
Medical institutions scatter knowledge across many systems and paper docs. New staff take time to ramp, patients repeat the same questions, and inter-department coordination stalls on inconsistent document versions.
SOPs, patient-ed materials, and policy updates are scattered across systems. Staff make phone calls and cross-checks to confirm.
"What's the post-discharge care?" "What are the drug side effects?" — same questions every day, eating nursing and admin time.
Different departments keep their own versions. When info updates, each unit must be notified separately — inconsistency is the norm.
What should I do after discharge?
Voice or text input, natural language — no keyword tricks required.
→Searches in-hospital patient-education materials, SOPs, and policies — understands the question in context.
→LLM combines retrieval with generation for precise replies. Source documents can be cited for clinician verification.
→Replies via natural voice in multiple languages. Optional text transcript displayed alongside.
Capabilities can be adapted to staff, patient, and departmental scenarios.
Traditional Chinese, English, and Japanese from one knowledge base.
Speech-to-text and text-to-speech support for hands-free access.
RAG over internal documents, SOPs, and approved patient materials.
Responses can reference the approved source used for verification.
Different experiences for patients, nursing staff, and administrators.
Integrates around the institution's existing process and terminology.
Select the platform based on model size, user count, latency, and availability requirements.
Compact local AI platform for a focused knowledge base and limited concurrent users.
EDGE OR SINGLE-GPU
Professional AI workstation for multilingual RAG, voice response, and larger document collections.
AI WORKSTATION
Multi-GPU or server infrastructure for broader deployment, redundancy, and scale.
MULTI-GPU / SERVERTell us your scenario and requirements. AI Center starts with consulting and walks you through document organization to production rollout.