Summarising referral and administrative documents with Azure AI
How a healthcare provider could triage incoming referral letters and paperwork faster with Azure AI Document Intelligence and Azure OpenAI — with staff reviewing every summary.
The situation
A healthcare provider’s administrative team receives large volumes of referral letters, forms and correspondence by fax and email. Staff read each one to identify the patient, the request and urgency before routing it, creating delays.
Our approach
Digitise intake
Capture faxes and emails into a secure Azure storage queue.
Extract structure
Azure AI Document Intelligence extracts text, forms and tables from each document.
Summarise and classify
Azure OpenAI drafts a short summary, suggested category and urgency indicators, citing the source text.
Human review
Administrative staff confirm or correct every summary and routing decision before anything is actioned.
Protect data
Private networking, encryption, access controls and audit logging designed around privacy and regulatory requirements.
Typical technology
What success looks like
Metrics we would agree with you up front and track throughout:
- Time from receipt to routing
- Documents processed per staff hour
- Share of summaries accepted without edits
- Routing errors
- Backlog at end of day
This is an illustrative scenario showing how Inspired Infotech approaches this type of problem. It does not describe a specific client, and actual approach and outcomes depend on each organisation’s systems, data and goals.
Services behind this scenario
Azure AI & Azure OpenAI
Azure OpenAI, Azure AI Foundry and Azure AI Search for secure copilots, RAG and agents.
Learn moreGenerative AI
LLM-powered assistants, RAG search and content automation — secure, grounded and enterprise-ready.
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Enterprise applications engineered to run, scale and migrate the stacks that keep your business moving.
Learn moreFacing a similar challenge?
Let’s talk about your situation and what a realistic plan looks like.