Clinical Document Intelligence for Public Healthcare

Problem

Clinicians in a Nordic public health system needed rapid access to rehabilitation guidelines, clinical protocols, and best practices scattered across hundreds of unstructured documents. Manual search was slow, inconsistent, and pulled staff away from patient care.

Approach

Designed and deployed a RAG knowledge assistant grounded in the organisation's internal clinical documentation corpus. Built a retrieval-augmented generation pipeline that indexes documents into a vector store and serves sourced answers through a conversational interface. Prioritised data sovereignty — all processing within the client's healthcare environment.

Result

Clinicians can query rehabilitation protocols in natural language and receive sourced, grounded answers in seconds. The system surfaces the exact source for every claim, supporting clinical confidence and auditability.

• ◆Sub-second response on clinical document queries
• ◆Every answer sourced to exact document location
• ◆Deployed within public healthcare environment
• ◆Natural-language interface for non-technical clinicians