Hospital: AI Knowledge Base for Nursing Staff

A general hospital with 800 beds and 1,400 employees faces a structural problem: medical knowledge is scattered across guidelines, internal standards, ward handbooks, and training materials — and barely accessible to nursing staff in everyday practice. When a night shift nurse has a question about the dosage of a rarely used medication, they call the on-call physician. This ties up medical resources for questions that could simply be looked up.

Patient Data and Expertise — Two Different Protection Levels

The hospital draws a clear distinction: patient data never belongs in external AI. But expertise — guidelines, protocols, internal standards — contains no personal data and could in principle be processed externally. Nevertheless, the hospital chose a local solution: full control over the entire system landscape, no dependency on external providers, complete auditability.

Clinical Knowledge Base with SoverIQ

SoverIQ Stack was installed on the hospital’s own servers. All relevant documents were converted into a searchable knowledge base:

• Medication guidelines and internal standards
• Ward-specific care protocols
• Hygiene and infection control standards
• Onboarding materials for new employees

Nursing staff can ask via chat — on any tablet, at any time:

“What is the procedure for hypoglycaemia on a general ward?” “What are the isolation measures for MRSA?”

The system responds with the internal guideline, cites the exact source, and directs to the responsible physician when uncertain.

Results

On-call physician calls for routine look-up questions dropped by 38%. New employees demonstrably onboard faster. Nursing staff report significantly higher confidence in routine situations — because the right knowledge is always within reach.