What is a medical knowledge base?
Healthcare organisations have hundreds of protocols, guidelines, work agreements and forms. Finding the right information costs healthcare professionals an average of 5–10 minutes per search query. With multiple searches per day, this adds up to significant time loss.
An AI-driven knowledge base makes all these documents searchable in natural language. Ask a question and immediately receive the relevant protocol or the correct work agreement — including the source for verification.
How does it work?
Retrieval Augmented Generation (RAG) combines search engine technology with large language models. Your documents are indexed and made semantically searchable. When a question is asked, the system finds the relevant passages and generates a concise answer with a source reference.
The system is regularly updated when protocols change. Versioning ensures that the current version is always displayed, with the option to consult historical versions.
What does it deliver?
Healthcare organisations report 80% faster access to protocols and guidelines, higher protocol compliance and less variation in working practices. According to McKinsey, better knowledge access improves protocol adherence by 25–35%.