CLEARaudit
Transforming radiology audit with AI
Intelligent audit and service insight for modern imaging systems. A scalable, clinically validated approach that interrogates entire imaging datasets within a defined clinical pathway and produces actionable insight for service improvement.
Audit on steroids — for imaging services under sustained pressure
Radiology services are under sustained pressure from rising demand, workforce constraints, and increasing expectations around governance, productivity and sustainability. Traditional audit approaches often struggle to keep pace, relying on manual sampling, limited scope and long turnaround times.
CLEARaudit combines AI-enabled interrogation of free-text radiology reports with structured data — and, where relevant, linked contextual data such as laboratory results — alongside a senior clinical validation step. It is delivered per pathway, and the commercial model is transparent and scalable.
In practice, organisations use the audit to:
Four pressures making large-scale audit essential
Workforce and capacity
Imaging demand is increasing while workforce capacity and scanner availability remain constrained. Without better insight into where imaging adds value, services risk escalating backlogs and clinician workload.
Variation and unwarranted demand
Variation in referral behaviour, vetting processes and pathway enforcement can generate unwarranted demand. Understanding variation at scale is a prerequisite for targeted improvement.
Governance and assurance
Clinical services increasingly require audit and evaluation to demonstrate appropriate use of imaging, guideline adherence and continuous improvement. Large-scale dataset interrogation provides stronger evidence than small samples.
Productivity and sustainability
CT and MRI are among the most resource-intensive activities in hospitals, with significant operational costs and carbon footprint. Reducing low-value imaging supports both financial and sustainability goals.
Beyond traditional audit
Importantly, the AI is not positioned as a black box. Outputs are clinically reviewed and validated, and your organisation retains ownership of decisions and change management.
Pathway-led
Each investigation is treated as a separate audit unit and can be priced separately.
Whole-dataset capable
We can analyse all records provided for the pathway, not small samples.
Clinically assured
AI outputs and any recommendations are subject to clinical validation.
Operationally useful
Outputs inform service transformation, not just reporting compliance.
Repeatable
Once set up, the same pathway can be re-run to support closed-loop audit.
Delivered per pathway, per dataset
The examples below illustrate typical pathway questions; specific questions are agreed during scoping.
CT Pulmonary Angiography (CTPA)
CT Abdomen & Pelvis (acute)
CT Brain
MRI Lumbar Spine (GP and acute)
MRI Knees
Ultrasound Neck
Ultrasound Transvaginal
End to end, in six stages
Scoping and site onboarding
We agree the pathway, key audit questions, time period and data sources. Each pathway is treated as a discrete audit run with clear scope and deliverables.
Information governance and contracting
We support completion of IG requirements and contracting via a structured onboarding process. IG is usually the rate-limiting step and the key determinant of the overall timeline.
Secure environment and data ingestion
Data is transferred and processed in a secure environment. A validation step confirms the dataset provided matches the agreed specification before processing begins.
AI-enabled interrogation
AI methods are applied to radiology report free text and structured fields to extract consistent indicators, classify themes and quantify variation relevant to the pathway questions.
Clinical validation
Outputs and any AI-generated recommendations are clinically checked. Validation is performed in batches to ensure results correlate with clinical reality and remain safe and credible.
Reporting and insight refinement
We provide a final report including visualisations, narrative interpretation and action-oriented insight. Your team remains responsible for implementing change; optional support can be added.
What you receive
The audit produces a structured set of insights tailored to the pathway, designed so local teams can prioritise interventions.
Transparent pricing, priced per pathway
We do not cap the number of records. Exceptionally large or complex datasets may require additional engineering and validation effort and may therefore be priced higher. Indicative pricing for one pathway:
Site selection and kick-off; data scoping, preparation and scripts; secure environment setup; information governance completion.
Regular post-IG engagement; data extraction, cleansing and validation; engineering test runs; data visualisation.
Presentation of findings; final AI-drafted, team-reviewed report pack; webinars and stakeholder communication; evaluation and close-out.
Volume discounts
Onboarding efficiencies
Once site initiation is complete, effort is typically reduced for subsequent pathways at the same site because IG, contracting and environments are already in place.
Closed-loop re-audit
Recommended as good practice: baseline audit, implement an intervention, then re-audit after a defined period, often 6–12 months. Repeat runs re-use established datasets and pipelines.
Aligned to NHS and provider requirements
Security controls and data handling arrangements are agreed during onboarding and supported through the initiation phase. IG timelines vary by organisation — early engagement with IG leads materially improves delivery speed.
Defined data specification
Minimum necessary principles applied throughout, with a structured specification and validation checks.
Secure transfer and storage
Transfer and storage arrangements agreed with your organisation during onboarding.
Full audit trail
An audit trail of all ingestion and processing steps is maintained.
Controlled access
Access to outputs and reporting is controlled and agreed in advance.
From first call to findings
A typical start process
What we ask you for
Once IG is complete and the dataset is established, analysis and reporting can often be turned around within 2–3 weeks, sometimes faster. Repeat audits are faster still, provided no material data variation is introduced.
Ready to audit your imaging pathway?
Start with an introductory call to confirm your pathway priorities and success criteria. We’ll scope the questions, dataset and timeframe with you.