Transform NHS Patient Letters Into Structured Data Automatically
Reduce manual processing, eliminate backlog pressure, and send clean, accurate patient data directly into clinical and administrative systems.
Why NHS Teams Need AI Document Processor for Patient Letters
NHS organisations are under pressure to process ever‑increasing volumes of patient letters, with limited time and resources.
- Thousands of patient letters arrive across Trusts every week — mostly as PDFs or scans.
- Staff spend valuable hours manually opening, reading, and re‑keying data.
- Inconsistent formats make patient matching, coding, and triage slow and error‑prone.
- Delays in entering data into EPRs can impact care continuity and operational efficiency.
- Backlogs grow quickly when teams are short‑staffed or demand increases.
Azure‑Powered Document Intelligence Designed for NHS Workflows
Our solution automatically classifies NHS patient letters and extracts key clinical and administrative data such as NHS number, patient identifiers, dates, departments, referral details, and routing information. Built on secure Microsoft Azure AI services, it integrates directly with existing NHS workflows, whether you use EPRs, data warehouses, or shared inboxes.
Automated Letter Classification
Instantly detect referral letters, discharge communications, clinic notes, and more.
Smart Data Extraction
Extract structured data fields with high accuracy, ready for downstream systems.
Human‑in‑the‑Loop Review
Use a simple validation interface so staff can review, correct, and approve data.
Workflow Integration
Connect outputs to EPR, PAS and data platforms.
NHS Use Cases
Outpatient Referrals
Automatically capture referral type, patient details, and urgency and route to the correct team.
Discharge Letters
Extract key discharge information for faster updates to clinical systems and follow‑up processes.
FOI / SAR / Admin Letters
Speed up handling of information requests and administrative communications with consistent data capture.
Back‑Scanning Projects
Accelerate digitization programmes by processing historic archives of patient letters at scale.
Measurable Impact for NHS Teams
Up to 70%
reduction in manual data entry effort for patient letters.
50–80%
faster turnaround on incoming patient letters and communications.
30–60%
improvement in data accuracy and completeness across documents.
Built for NHS Information Governance
- Hosted on Microsoft Azure UK regions
- Data encrypted in transit and at rest
- Azure AD / NHS login integration
- Role‑based access and full audit trail
- Supports DPIA and local IG processes
- Aligned with NHS information governance requirements
- Architecture designed for DCB 0129 / 0160 compliance (where applicable)
From PDF to Structured Data in Five Simple Steps
1. Ingest
Receive documents from shared inboxes, folders, APIs, or scanning workflows.
2. Classify
AI automatically detects document type and category.
3. Extract
Key patient and letter information is captured with high accuracy.
4. Review
Staff validate or correct data through a simple, intuitive interface.
5. Integrate
Data flows into EPRs, PAS, workflow engines, data warehouses, or analytics tools.
Flexible, Transparent Pricing
Starter
Ideal for single departments or smaller volumes of patient letters.
Professional
For Trust‑wide automation and multiple patient letter types and workflows.
Enterprise
High volume, custom integrations, advanced governance, and support options.
