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Aipedia: Osteopaths and chiropractors
An AI intake questionnaire can prompt red-flag questions, but it cannot clear a patient for treatment, and the decision to treat, refer or send to A&E stays with you. A missed red flag is among the most serious claims a manual therapist can face.
Part of: AI in osteopaths and chiropractors
In short
Online intake forms and triage tools may use AI to ask follow-up questions and flag possible serious pathology, such as cauda equina syndrome, fracture, infection or cancer. They can improve consistency, but they depend on how patients answer and on how the tool was built and tested. The GOsC says osteopaths remain responsible for clinical decisions made with AI and must act to keep patients from harm. A tool that marks a patient "low risk" does not replace your own questioning at the appointment, and a delay in referral is a common thread in serious negligence claims.
A patient books online and completes a questionnaire before the first appointment. Rules-based or AI-driven forms ask follow-up questions depending on earlier answers, then produce a summary with flags such as "possible neurological involvement" or "no red flags reported". Some tools send automated messages telling patients with certain answers to contact their GP or call 111. The appeal is obvious: consistent questions, information in advance and a prompt for practitioners on busy days.
A screening tool can mislead in several ways:
The GOsC interim AI guidance says osteopaths remain responsible for clinical decision-making and must critically check AI output. OPS C4 requires action to keep patients from harm; B2 requires working within competence; C2 requires accurate records of what was asked and found. Where the tool makes a solely automated decision with a significant effect, for example refusing an appointment based on health answers, data protection law adds restrictions: section 80 of the Data (Use and Access) Act 2025 inserted Articles 22A to 22D into UK GDPR, restricting solely automated significant decisions based on health data. Keep a human in the loop. Chiropractors are bound by the GCC Code; the GCC has no AI guidance.
Illustrative scenario: a patient completes an online form the night before an appointment and answers "no" to questions about bladder changes. The tool marks the case "no red flags". At the appointment the patient mentions leg weakness that started that morning, but the practitioner, reassured by the summary, does not repeat the red-flag questions and treats. The patient is later diagnosed with cauda equina syndrome after a delay. The claim alleges failure to screen and refer, and the AI summary in the notes shows what the practitioner relied on.
Your own clinical reasoning, not the tool, decides urgency. As a general rule of practice, suspected cauda equina or other emergencies need same-day emergency assessment, while concerning but non-urgent findings go to the GP with a written referral. Record the advice given, the route and the time. Make sure any automated messages from the tool match your own referral thresholds and are reviewed by a clinician.
Delayed diagnosis claims can be large because of the long-term consequences for the patient. The statutory minimum under the GOsC and GCC rules is £5m in the aggregate for all claims in the period, so check whether your policy's defence costs sit inside that limit. Cover for negligent omissions is required, so a missed red flag would usually fall within PI, subject to the policy terms and to accurate disclosure of how you triage. If the tool sends patients away without clinician review, tell your insurer; that is a different service from screening you then check. See how aggregate limits work.
You can reduce the risk with these steps:
Related: AI chatbots and online booking, AI scribes and case notes, the doctors' AI triage guide and the hub.
Apex arranges PI for osteopaths and chiropractors and can help you consider whether your aggregate limit is enough for delayed diagnosis exposure. See osteopaths' PI.
No. It can prompt questions and flag concerns, but the GOsC says practitioners remain responsible for clinical decisions made with AI. Repeat red-flag questions at the appointment, especially if symptoms may have changed since the form was completed.
Be cautious. Data protection law restricts solely automated decisions with significant effects based on health data. A clinician should review the answers, and the advice given should match your own referral thresholds and be recorded.
Yes, keep what the patient submitted, because it shows what information you had. Add your own red-flag questions and findings from the appointment beside it, so the record shows your decision rather than the tool's label.
It depends on your practice and the claims you could face. The £5m is an aggregate minimum for all claims in the period, and defence costs may sit inside it, depending on the wording. Discuss with a broker whether a higher limit is sensible for your work.
Tell us about your firm and the work you do. A broker will review how your current PI treats AI-assisted work, or arrange new cover. No fee for a quote. Or call 0117 325 0027.
Start a PI quote Request a callbackApex 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.
