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Aipedia: Nurses and allied health professionals

Radiographers and AI imaging tools: duties and indemnity

Radiographers can use AI positioning, quality and reporting aids, but the clinical evaluation of each exposure and any report remain human responsibilities. A missed abnormality is judged against the radiographer's duties, not the tool's accuracy.

In short

AI can support radiographers at the scanner and in reporting: auto-positioning, protocol selection, image-quality checks and abnormality flags. The Society and College of Radiographers has published an AI policy statement and workforce guidance. IR(ME)R 2017 regulation 12(9) requires the employer to ensure a clinical evaluation of the outcome of each exposure, and HCPC standards 3.1 to 3.5 require radiographers to work within their competence and follow relevant guidance. NHS employed radiographers are usually covered by their employer; reporting radiographers working independently or for private providers need to check their own cover.

How radiographers use AI

At acquisition, AI can suggest patient positioning, select protocols and flag images that are blurred, clipped or mispositioned before the patient leaves. In reporting, some tools flag suspected fractures, nodules or other findings and reorder worklists so urgent cases are seen first. Reporting radiographers may read with an AI overlay showing where the software thinks an abnormality is. These tools are regulated by the MHRA as medical devices where they meet that definition; the radiographer's professional duties sit alongside, not inside, that regulation.

The duties that apply

What can go wrong

Illustrative scenario: a reporting radiographer reviews a wrist X-ray. The AI tool marks no fracture. The radiographer sees a subtle cortical irregularity but, reassured by the tool, reports the study as normal. The fracture is found weeks later after the patient returns in pain, and the claim alleges a missed diagnosis.

The reverse also happens: a radiographer dismisses a correct AI flag without recording why. At acquisition, auto-positioning errors can lead to repeat exposures, raising IR(ME)R questions about justification and dose. Worklist prioritisation can delay a study the model wrongly ranks as routine.

Reporting radiographers and scope of practice

Reporting is an extended role, and AI changes it further. A radiographer trained to report appendicular skeletal X-rays who starts using a tool that also flags chest findings has not widened their scope by doing so: HCPC 3.1 still limits them to areas where they have the knowledge, skills and experience, and 3.2 requires training before scope widens. Locally agreed reporting scopes, audit of discrepancies and second reading arrangements remain the main safeguards. Where a provider introduces AI triage of worklists, reporting radiographers should know what the tool deprioritises and how urgent findings outside their scope are escalated. These points also shape indemnity, because cover is usually tied to the activities described when it was arranged.

How indemnity usually responds

For NHS trust work, the employer usually responds and claims are handled under CNST. Reporting radiographers working for independent reporting companies, private imaging providers or on a self-employed basis need to check their own arrangement, because indemnity is a legal requirement for HCPC registrants under SI 2014/1887, cover needs to reflect the work actually done, and private employer terms vary. Where the AI product itself is defective, the loss may lie partly with the supplier. One defence organisation's published position for its doctor members excludes product liability and system "failure, defects, or technical limitations", and practitioners' arrangements may take a similar line, depending on the wording.

Practical controls

Related: HCPC position on AI, indemnity for AI errors, self-employed and agency work, the nursing and allied health AI hub and the doctors' guide to AI in radiology.

How Apex helps

Apex arranges indemnity for self-employed and independent reporting radiographers. A broker reviews whether your cover reflects reporting work and AI-assisted reading; see AI clauses in insurance policies.

Sources

Frequently asked

Does an AI flag count as the IR(ME)R clinical evaluation?

Regulation 12(9) requires the employer to ensure a clinical evaluation of each exposure, recorded under its procedures. An AI flag is best treated as an aid. Who carries out and records the evaluation depends on your employer's procedures.

Am I liable if the AI misses a fracture I also missed?

Possibly. Your report is judged against the standard of a competent reporting radiographer, and HCPC 3.1 requires you to practise within your skills. The tool's error does not usually transfer your responsibility, though a supplier may share liability.

Do self-employed reporting radiographers need their own cover?

Usually yes. Indemnity is a legal requirement for HCPC registrants, and self-employed or consultant work usually needs the registrant's own arrangement rather than an employer's. Check that reporting and AI-assisted reading are within the policy's scope.

Check your indemnity covers how you use AI

Tell us about your practice and the work you do. A broker will review how your current cover treats AI-assisted work, or arrange new cover. No fee for a quote. Or call 0117 325 0027.

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Apex Insurance Brokers Limited is authorised and regulated by the Financial Conduct Authority. Registered in England and Wales, company number 07014570. This page is general information about how AI is used in the profession and how insurance may respond. It is not legal, regulatory or insurance advice on your circumstances, and it does not guarantee that cover will be available or on what terms.