UK vets — RCVS-aware, ezyVet / ProvetCloud / Vetstoria for clinical, vaccine cycles + recall, insurance + EAP claims.
UK vets — RCVS-aware, ezyVet / ProvetCloud / Vetstoria for clinical, vaccine cycles + recall, insurance + EAP claims.
Per-patient clinical record — consults, treatments, lab results, imaging — visible at exam, not buried across three tabs. Built around ezyVet or Provet Cloud, not against them.
Per-patient vaccination schedule, anti-parasite cycle, dental-clean prompt, lapsed-pet win-back. The compliance most practices leave on the table, recovered.
Direct-claim integration where the insurer supports it, templated claim packs where they don't. The owner doesn't pay upfront, the practice doesn't chase paperwork.
Online booking that respects appointment type, vet preference, vaccine status, and species. Owner books in 90 seconds, front desk doesn't pick up the phone.
Pre-visit fasting reminders, post-op care notes, post-consult summary on the owner's phone. The thing that gets the five-star review and the rebook.
Clinical protocols, BSAVA dosing references, breed-specific notes, supplier list — searchable from the consult room. New nurses confident on day one.
A small-animal practice ran on ezyVet for clinical but did booster reminders on a spreadsheet, with Sunday-evening text-merge sessions. Three-week build: per-patient vaccination schedule wired to ezyVet, automated recall via SMS + email, Vetstoria booking link in the recall, lapsed-pet win-back flow. Six months in: vaccine compliance from 71% to 92%, four hours back per nurse per week, eleven thousand pounds of recovered booster revenue.
How we measure: Vaccine compliance = patients with current core vaccinations / active patient list, sampled monthly across 1,840 active patients; baseline measured from the prior 12 months of paper-diary recall logs.
If your work isn't exactly this, the nearest sectors share the rhythm. Or browse every industry we build for.
Bring the recall list, last quarter's compliance numbers, and the claims backlog. We diagnose from the data.