Aipedia: Pharmacists and pharmacies

AI decision support in Pharmacy First consultations

Aipedia, by the Apex broking team · Last reviewed 2026-10-30

AI decision support can prompt questions and suggest outcomes in Pharmacy First consultations, but the pharmacist remains accountable for spotting red flags and referring. These are clinical services where a missed diagnosis can lead to a serious claim.

Part of: AI in pharmacists and pharmacies

In short

Community pharmacists delivering Pharmacy First and other minor-illness services may use AI decision support to structure questioning, suggest whether a condition fits a pathway and draft records. The GPhC position statement says AI should not replace clinical decision-making and pharmacists remain personally accountable. Standard 5 requires professional judgement, and a pharmacists' defence association asks for extra care where AI makes recommendations. The key risks are missed red flags and failed referrals. Owners must hold indemnity for the services they provide, and individual pharmacists need their own appropriate cover under article 32; do not assume a state scheme applies.

How AI is used in minor-illness consultations

Decision support tools can walk the pharmacist through a pathway, prompt for exclusion criteria, suggest whether a patient is suitable for treatment and produce a draft consultation record for the NHS system. Some tools add AI that interprets free-text symptoms or summarises a conversation. Used well, they standardise questioning. Used badly, they narrow the consultation to the questions on the screen.

The duties that apply

Several existing duties apply to this work:

Standard 5, professional judgement: the pathway or tool output informs the decision; it does not make it.
Accountability: the GPhC position statement says AI should not replace clinical decision-making and you must be able to justify your decision.
Standard 1, person-centred care: look at the patient in front of you, not only the answers recorded.
Standard 3: explain AI use to patients and seek consent where necessary.
Extra care: the defence association, as reported by The Pharmacist, asks pharmacists to critically evaluate outputs and take extra care where AI makes recommendations.

What can go wrong

Illustrative scenario: a patient attends with what the decision support tool classifies as a simple infection suitable for treatment under the service. The tool did not prompt for a symptom the patient mentioned in passing, which in fact suggested a more serious condition needing urgent referral. The pharmacist follows the suggested outcome, supplies treatment and records the consultation using the tool's draft. The patient deteriorates and is admitted two days later.

A claim would focus on whether a reasonably competent pharmacist would have spotted the red flag and referred. The tool's output and the draft record would be part of the evidence, and a record that only reflects the tool's questions may suggest the consultation was too narrow.

Data is a second risk. If the tool sends patient information to a supplier, the owner must cover it in information governance and risk assessment, as the GPhC statement requires. Where a tool, rather than the pharmacist, effectively decides whether a patient is treated, the automated decision rules in section 80 of the Data (Use and Access) Act 2025 may also apply.

How PI usually responds

Clinical services delivered from a community pharmacy are generally the owner's and the pharmacist's risk. The GPhC says owners must hold indemnity for the services they provide and that employed registrants must not assume employer cover is adequate; locums delivering the service need their own arrangement. Do not assume the state scheme for general practice extends to a community pharmacy service; the NHS Resolution CNSGP scope table describes general practice cover, and the guide to NHS indemnity schemes explains the schemes. Whether a policy treats a consultation supported by AI any differently depends on the wording; a policy may not mention AI at all, so disclosing the tools you use avoids later arguments.

Practical controls

Useful controls include:

Ask open questions before following the tool's prompts.
Check red flags and referral criteria yourself, every time.
Edit draft records to reflect what the patient actually said.
Record your reasons when you depart from or follow a suggested outcome in a borderline case.
Report tool errors to the owner and supplier.

How Apex helps

Apex arranges indemnity for community pharmacy owners and the pharmacists who deliver their clinical services. A broker checks that NHS clinical services and the decision support used in them are within your declared activities.

Sources

Frequently asked

Am I liable if the decision support tool misses a red flag?

You may be. The GPhC says pharmacists remain personally accountable and AI should not replace clinical decision-making. The question in a claim would be whether a reasonably competent pharmacist would have spotted the problem, regardless of what the tool showed.

Does NHS indemnity cover Pharmacy First consultations?

Do not assume so. State schemes such as CNSGP cover NHS general practice, and their scope is set out by NHS Resolution. The GPhC requires pharmacy owners to hold indemnity for the services they provide, so check your own arrangements cover NHS clinical services.

What should my consultation record show if I used decision support?

It should reflect what the patient told you, the red flags you checked, your decision and your reasons, not just the tool's output. Edit any draft before saving it. A clear record of your own judgement is one of the best defences if the outcome is later questioned.

Should I tell patients that AI supports the consultation?

The GPhC position statement says pharmacists should explain AI use to patients, including risks and benefits, and seek consent where necessary. A short explanation also helps the patient tell you things the tool did not ask about.

Check your PI covers how you use AI

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.

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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.