AI-Powered Letter Quality Assessment

Improved Accuracy, Consistency & Governance of Clinical Correspondence

Client

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.
“GreenM delivered a practical and secure way for our team to apply AI-driven letter quality assessment.”
Dr. Bahman Nedjat-Shokouhi, CEO, Medefer Ltd
10+
Years of Operation
Trusted by 150000 patients
94%
Patient satisfaction rate
Award-Recognized Healthcare Innovator

What we did

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.
Clinicians get instant scoring, structured quality feedback, and clear insights

The Challenge

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

How It Was

Manual Review Workload
Delayed Patient Communication
Inconsistent Outputs
Limited Visibility Into Communication Quality

The Solution

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

Key Capabilities

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

Outcomes

Clinical data integration delivered measurable improvements across reporting and clinical workflow optimization
“The  AI-powered assessment has already helped standardize communication and improve review efficiency.”
Dr. Bahman Nedjat-Shokouhi, CEO, Medefer Ltd

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

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 authenticationmanagement

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

Security by Design

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

Services Provided

Unified Health Data

Bring your clinical, financial, and operational data into one place
A unified, AI-ready data layer that reporting, automation, and AI can reliably use.
Learn more

Clinical Workflow Integration

Embed AI into existing clinical workflows
Integrate AI into EHR, scheduling, billing, and communication systems your teams already use.
Learn more
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