AI-Powered Letter Quality Assessment
Improved Accuracy, Consistency & Governance of Clinical Correspondence
Medefer is a digital-first UK outpatient and referral management provider working with NHS Trusts and Integrated Care Systems across the country. Established in 2013, the organization enables consultants to review thousands of cases each month, helping hospitals reduce waiting lists and accelerate access to specialist care.
Visit website ↗Clinicians get instant scoring, structured quality feedback, and clear insights.
GreenM delivered a secure AI letter quality tool that enables care teams to standardize, evaluate, and improve the quality of patient letters while enhancing day-to-day communication efficiency.
Rising workload, inconsistent letter quality
Medefer clinicians handle high volumes of patient correspondence, where accuracy and tone are critical for safety and governance. Rising workload made it harder to maintain consistency and efficiency.
- Clinicians spent significant time reviewing and refining letters manually
- There was no standardized process to ensure consistent letter quality
- Review workflows were slow and subjective, lacking structured scoring
- Fragmented authoring tools made quality control difficult
- Teams lacked automated assistance to detect structural, linguistic, or tonal issues
- Manual review workload
- Delayed patient communication
- Inconsistent outputs
- Limited visibility into communication quality
The healthcare letter quality tool is an intuitive system that provides instant, structured evaluation of clinical letters.
- Scores each letter across all key quality dimensions: accuracy, relevance, completeness, clarity, tone, structure, and formatting
- Delivers targeted, explainable recommendations to help clinicians improve correspondence quickly and confidently
- Generates an "ideal improved draft" for clinician review and final approval
- Ensures full governance and data protection by running entirely within Medefer's private Azure environment
- Supports clinical teams with fast, consistent, repeatable evaluation logic, reducing variation across high-volume workflows
- Upload a letter → receive AI-powered assessment
- Objective scoring aligned with communication standards
- Structured feedback grouped by category
- Generated improvement suggestions
- Audit-ready review history
- Designed to scale into automated workflows
Clinical data integration delivered measurable improvements across reporting and clinical workflow optimization.
Faster Review Cycles
Reduces clinician review time and accelerates patient communication.
Consistent Communication
Ensures every letter meets governance-aligned standards for accuracy, tone, and completeness.
Clear Metrics & Auditability
Provides visibility into quality trends, enabling stronger oversight and continuous improvement.
A Proven AI Foundation
Creates a foundation for future AI-driven automation and audit-ready healthcare communication.
"The AI-powered assessment has already helped standardize communication and improve review efficiency." — Dr. Bahman Nedjat-Shokouhi · CEO, Medefer Ltd
DELIVERY
We applied our AI Launchpad approach from day one, enabling the full journey from pilot to production in just 60 days.
Phase 1
Discovery & Validation
- Mapped review workflows and governance standards
- Identified accuracy, completeness, and tone criteria
- Validated AI quality and clinical alignment
Phase 2
AI Foundation & Prototyping
- Built the scoring engine using GPT-4 inside Azure
- Designed structured feedback categories
- Developed secure Streamlit interface
- Integrated Azure AD authentication management
Phase 3
Production Deployment & Optimization
- Deployed on Azure App Service (private env)
- Added Key Vault–secured secrets and audit logging
- Iterated based on clinician feedback
- Delivered training and documentation
- Azure App Service
- Streamlit
- Docker
- Azure AI Foundry
- Azure Active Directory
- Azure Key Vault
- Encrypted communications
The Letter Quality Assessment Tool is deployed entirely within Medefer's private Azure environment, ensuring full data control, governance, and alignment with NHS security standards.
Private Azure Deployment
All processing occurs inside secure cloud infrastructure with no external data exposure.
Secure Access Controls
Azure Active Directory authentication ensures only authorized users can access the tool.
Secrets & Keys Protected by Key Vault
All credentials stored securely with least-privilege access.
Encrypted Communication & NHS-Aligned Architecture
Fully encrypted (HTTPS), audit-ready, aligned with NHS clinical communication governance.
