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HealthTech NHS AI Cervical Screening Platform -- MHRA Class IIb

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

Project Overview

An NHS Trust cervical screening programme processing 84,000 cervical samples per year needed an AI-assisted pr...

Technology Stack

ReactNode.js/FastifyPostgreSQLResNet-50 (PyTorchfine-tuned)Hamamatsu NanoZoomer digital pathology APIHL7 v2.xSNOMED CTAWS SageMaker (model inference)AWS eu-west-2

Compliance & Standards

MHRA Class IIb SaMDUKCA (BSI Assurance UK)ISO 13485 QMSIEC 62304 Class CISO 14971DCB0129NHS DTAC all 5 domainsNHSCSP standardsNHS AI Lab 14 StandardsUK GDPR Article 9
Step 01

The Challenge

An NHS Trust cervical screening programme processing 84,000 cervical samples per year needed an AI-assisted primary screening platform -- using AI to triage liquid-based cytology (LBC) samples before cytologist review. MHRA Class IIb SaMD (AI performing primary screening triage -- Class IIb risk classification, higher than Class IIa), UK Notified Body (BSI Assurance UK), IEC 62304 Class C, ISO 14971, DCB0129, NHS DTAC all 5 domains, NHS Cervical Screening Programme (NHSCSP) standards, NHS AI Lab 14 Standards, UK GDPR Article 9. Budget GBP160,000.

Step 02

Our Approach

MHRA Class IIb SaMD

AI that performs primary screening (first-pass analysis before cytologist) is Class IIb (higher clinical risk than decision support Class IIa -- AI is performing the screening step).

Class IIb requirements above Class IIa

  • 1UK Notified Body full Quality Management System audit (ISO 13485 QMS audit by BSI Assurance UK -- not just technical file review),
  • 2IEC 62304 Class C (highest software class -- all functions with clinical safety implications require full traceability),
  • 3clinical investigation (prospective clinical investigation -- not just validation study -- MHRA clinical investigation authorisation required),
  • 4post-market clinical follow-up (PMCF -- ongoing clinical evidence collection post-launch).

Clinical investigation

ClickMasters supported MHRA CIV1 clinical investigation authorisation application -- 8-week MHRA review before investigation start.

LBC AI model

deep learning (ResNet-50 fine-tuned on NHSCSP LBC training data) performing primary screening of cervical cytology slides.

Clinical workflow integration

  • 1digital slide scanner (Hamamatsu NanoZoomer -- digitises LBC slide at 40x magnification),
  • 2AI primary screening (AI analyses digital slide -- confidence score per region, overall slide classification: normal/abnormal/inadequate),
  • 3normal triage (AI high-confidence normal slides set aside -- still reviewed by cytologist but deprioritised),
  • 4abnormal escalation (AI flags abnormal slides -- immediately reviewed by cytologist),
  • 5inadequate classification (AI flags inadequate samples -- laboratory recall process).

NHSCSP sensitivity requirement

AI sensitivity for CIN2+ (pre-cancerous change Grade 2+) must be above 95% -- clinical validation required.

Training data

280,000 NHSCSP LBC slides (10-year dataset).

DCB0129 for Class IIb AI screening

higher clinical risk requires more extensive clinical safety case.

Primary hazard

AI misclassifying a CIN2+ sample as normal (false negative -- patient not recalled).

Mitigation

  • 1AI cannot classify a slide as normal with 100% confidence -- all slides reviewed by cytologist (AI triage, not AI diagnosis),
  • 2double-read protocol (AI abnormal + cytologist abnormal: immediate referral; AI normal + cytologist abnormal: immediate referral; AI abnormal + cytologist normal: second cytologist review -- discordance protocol),
  • 3AI sensitivity monitoring (weekly -- AI sensitivity must stay above 95% CIN2+ -- automated alert if sensitivity drops below threshold),
  • 4cytologist override (cytologist can override AI classification -- all overrides reviewed monthly by Lead Cytologist).

Clinical Safety Officer

Consultant Cytopathologist.

NHSCSP Programme Integration

NHSCSP (NHS Cervical Screening Programme): national programme run by NHS England.

Programme integration

  • 1NCSP-is (Cervical Screening call-recall system -- GP patient lists, invitation management, result notification),
  • 2HL7 v2.x result reporting (LBC result reported to GP via HL7 ADT + ORU messages),
  • 3SNOMED CT coding (cervical cytology results coded in SNOMED CT -- Bethesda System terminology UK equivalent),
  • 4national statistics (annual return to NHS England -- sample volumes, abnormality rates, CIN2+ detection rate).

PHE target

CIN2+ detection rate above national average -- AI primary screening expected to improve detection rate by 12-18%.

Step 03

The Results

MHRA Class IIb UKCA obtained (BSI Assurance UK, ISO 13485 QMS audit passed).

Platform live at 40 weeks, GBP152,000. 84,000 samples/year.

AI sensitivity CIN2+: 97.2% (NHSCSP target: 95%).

AI specificity: 84.8%.

AI normal triage: 52.4% of slides classified normal (cytologist workload reduction).

Double-read triggers: 3.8% of slides.

Discordance review: all actioned within 24 hours.

NHS AI Lab all 14 standards documented.

DCB0129: zero clinical safety incidents.

UKCA Class IIb obtained.

AI sensitivity 97.2% vs 95% NHSCSP target.

Cytologist workload 52.4% triage reduction.

Discordance 3.8%.

AI Lab all 14.

DCB0129 zero.

The double-read protocol -- AI abnormal plus cytologist normal triggers second cytologist review -- was the DCB0129 design that made this clinically safe.

AI triage means the cytologist reviews every slide.

But the cytologist who reviews an AI-abnormal slide that they personally classify normal must have that classification reviewed by a colleague.

That discordance protocol adds one review per 26 slides and catches the cases where the AI was right and the cytologist was wrong. -- Lead Cytopathologist, NHS Trust (name withheld)

Project Details

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

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