Healthcare

Pills Verify: AI monitoring from prescription to dispatch

Photographic medicine and quantity checks against prescriptions, with BNF-derived interaction insights for pharmacist review.

Conceptual engineering illustration for Pills Verify: AI monitoring from prescription to dispatchTranz / Engineering in practice
Product / workflow
Pills Verify
Market
United Kingdom
Focus
Packing checks & interaction insights
The challenge & the change

Every handoff needs a closer check.

Before

Manual work at the centre.

Pharmacy staff pick, pack and prepare prescribed medicines for dispatch. Checking the selected medicines and quantities against the prescription depends on repeated human comparisons. An unnoticed mismatch can carry through to the next stage.

What we built

A connected software workflow.

We built an AI monitoring workflow that captures photographs at preparation stages and compares the visible medicines, quantities and packages with the prescription. The system presents comparison findings and potential drug interactions for pharmacy review.

Workflow

Follow the information through the system.

Implementation flow · based on the delivery team’s account
  1. 01

    Prescription

    Use the prescription as the reference for the medicines and quantities being prepared.

  2. 02

    Photographic capture

    Capture the packages and medicines at stages of preparation.

  3. 03

    AI comparison

    Compare the photographed preparation with the prescription and present discrepancies.

  4. 04

    Review findings

    Bring packing findings and interaction alerts to the pharmacy team’s attention.

Inside the implementation

Two checks, brought into one view.

Preparation monitoring

Photographs connect the physical picking and packing process to the prescription. The system reports whether the observed preparation matches the expected medicines and quantities.

Drug interaction insights

The implementation uses a medicines knowledge base derived from BNF information to flag potential interactions and their reported severity. Operational matches and clinical interaction findings remain separate: a correctly packed order can still raise an interaction concern.

Professional judgement

Findings support pharmacist review. An AI comparison or interaction report does not establish that a medicine combination is safe for an individual patient or replace a pharmacist’s decision.

Pills VerifyIllustrative interface
Workflow example

Preparation review

Prescription reference
Demo order · no patient data
Photo comparison
Quantity discrepancy flagged
Interaction insight
Potential interaction · review required
Next step
Pharmacist review

Concept layout · not a production screenshot.
Example content only.

Illustrative workflow view, not a production screenshot.
Delivered capabilities & outcomes

A visible review point before dispatch.

Implementation and workflow outcomes reported by the Tranz delivery team.

Delivered capability

Photographic comparison of prepared medicines and quantities against the prescription.

Delivered capability

Interaction findings with severity information alongside preparation checks.

Workflow change

The pharmacy team can review preparation discrepancies and interaction findings together before deciding the next action.

Context & references

Clear terminology.
A defined scope.

BNF means British National Formulary. Its publisher describes it as a professional reference for medicine selection, prescribing, dispensing and administration. Here, BNF-derived interaction information supports review; it is not an endorsement of this product by BNF or NICE.

Talk through your workflow

Where does your pharmacy team repeat the same work?

Bring us the handoffs, document entry or verification steps that need attention. We can explore the integrations, review points and evidence needed for a useful implementation.

Discuss your pharmacy workflow