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HealthTech NHS AI Radiology Triage -- MHRA Class IIa

UK6 min readUpdated May 2026
Region
UK
Contract
Fixed Price
Tech Stack
9 Technologies
IP
100% transferred

Project Overview

NHS Trust radiology processing 280,000 imaging studies per year needed AI-assisted triage prioritising urgent ...

Technology Stack

ReactNode.js/FastifyPostgreSQLDICOM C-STORE (pynetdicom)ResNet-50 (PyTorch)AWS SageMakerSectra PACS APIHL7 ORMAWS eu-west-2

Compliance & Standards

MHRA Class IIa SaMDUKCA (BSI Assurance UK)IEC 62304 Class BISO 14971DCB0129NHS AI Lab 14 StandardsDTAC all 5 domainsUK GDPR Article 9
Step 01

The Challenge

NHS Trust radiology processing 280,000 imaging studies per year needed AI-assisted triage prioritising urgent findings (pneumothorax, intracranial haemorrhage, PE). MHRA Class IIa SaMD, IEC 62304 Class B, DCB0129, NHS DTAC all 5 domains, UKCA marking (BSI), NHS AI Lab 14 Standards, UK GDPR Article 9. Budget GBP130,000.

Step 02

Our Approach

Class IIa requirements

  • 1UK Notified Body (BSI Assurance UK) technical file review,
  • 2IEC 62304 Class B documentation,
  • 3ISO 14971 risk management,
  • 4clinical evaluation (3-month prospective validation -- 500 cases, sensitivity and specificity per pathology),
  • 5UKCA marking,
  • 6MHRA DESH registration,
  • 7Post-Market Surveillance Plan.

Key standards for radiology AI

Standard 1 (AI triage prioritises worklist order -- does not diagnose independently), Standard 2 (training data demographics documented), Standard 3 (which pathologies AI detects explicitly documented), Standard 8 (AI confidence score and highlighted image region shown -- not binary flag), Standard 14 (quarterly performance review -- sensitivity/specificity tracked in production).

Demographic bias

sensitivity across age groups, sex, BMI documented.

Primary hazard

AI de-prioritising urgent finding.

Design

  • 1AI is advisory -- radiologist retains clinical responsibility,
  • 2AI cannot move a study below standard priority (can elevate to urgent, never demote),
  • 3all studies reviewed regardless of AI score,
  • 4urgent threshold conservatively set (sensitivity >98% for pneumothorax/intracranial haemorrhage),
  • 5radiologist override recorded for continuous learning.

Integration

  • 1DICOM C-STORE listener (studies from CT/MRI/X-ray),
  • 2AI inference (ResNet-50 fine-tuned -- <10 seconds per study),
  • 3DICOM SR (AI score plus highlighted region attached to study),
  • 4worklist re-prioritisation (HL7 ORM update to RIS),
  • 5radiologist interface (AI overlay in Sectra IDS7 -- shown while reporting, not before, to avoid anchoring bias).
Step 03

The Results

MHRA Class IIa UKCA obtained (BSI).

Platform live at 32 weeks, GBP124,000 under budget.

AI sensitivity: 97.8% pneumothorax, 98.4% intracranial haemorrhage, 96.2% PE.

Urgent report time: 84 to 28 minutes.

Override rate: 4.2% (retraining dataset).

NHS AI Lab all 14 documented.

DCB0129 zero incidents.

DTAC all 5 domains first-submission success.

β€œ
Client Testimonial
β€œUKCA obtained. Sensitivity 97.8% pneumothorax, 98.4% intracranial. Urgent report 84 to 28 minutes. Override 4.2%. AI Lab all 14. DCB0129 zero. DTAC all 5 first submission. The design that matters: AI can only elevate urgency, never reduce it. Advisory not autonomous. That is what got DCB0129 sign-off. First AI radiology system the Clinical Safety Officer had seen that understood the difference between decision support and decision making." -- Clinical Director of Radiology, NHS Trust (name withheld)”
ClickMasters Case Study Team
Reviewed by James Whitmore, CTO

Project Details

Sector
HealthTech
Country
UK
Status
On Time
Contract
Fixed Price
Tech Stack
9 Technologies
Reading Time
6 min
IP Ownership
100% transferred
Last Updated
May 2026
Written By
ClickMasters Case Study Team
Reviewed By
James Whitmore, CTO

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