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🏒 NHS Hospital Trust

Air-Gapped RAG Pipeline for NHS Clinical Knowledge Base

29/45Project Reference
8 weeksEngagement Duration
3 architectsZippyOPS Team
4Measurable Outcomes
The Challenge

What the Client Was Facing

A hospital trust wanted to deploy an AI assistant for clinical staff to query pathway documentation and clinical guidelines. NHS IG requirements prohibited patient data from leaving NHS infrastructure and commercial AI APIs were excluded by their data processing agreement.

Our Role

What ZippyOPS Was Engaged To Do

ZippyOPS was brought in to design and implement a solution addressing the root causes of the client's challenges β€” delivering measurable outcomes within a fixed engagement timeline. Our team worked embedded with the client's engineers throughout the entire project.

The Solution

How We Solved It

ZippyOPS deployed Mistral 7B Instruct on air-gapped on-premises GPU servers within the NHS network boundary. A RAG pipeline ingested clinical guidelines and pathway documents into a Weaviate vector database. The model was integrated with the trust's existing Microsoft Teams environment via a secure bot API.

Technologies Used

Mistral 7B Ollama Weaviate LlamaIndex Python FastAPI Microsoft Teams Docker Kubernetes NVIDIA A100
The Results

Measurable Outcomes Delivered

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Clinical staff query time for pathway guidelines reduced 80%

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100% NHS IG compliant β€” zero data crossing the NHS network boundary

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4,200 clinical documents indexed and queryable in natural language

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Junior doctor onboarding time for trust protocols reduced 40%

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