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2026 industry report · free

What AI is actually doing inside the clinic.

We surveyed 212 veterinary practices across the US, Canada, and UK on AI adoption, charting time, no-shows, comms, and what vets want next. 107 pages, 38 charts, 14 case studies — written for practitioners, not vendors.

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Published April 15, 2026 · 212 respondents · ±5.6 pp at 95% confidence

Six findings

The numbers we wanted in one place.

78%
of clinics piloted at least one AI tool in 2025
11 → 3:20
median chart-note time before / after AI scribes (mins)
−41%
no-show rate at clinics using AI booking and recall
92%
of vets surveyed say "less typing" is the #1 thing they want
38%
saw same-week patient throughput improvement after adopting
12%
felt their existing PMS supported the new AI tools well
Sneak peek · Chapter 02

The clinics that got fastest didn't edit the most.

Practices that finalized SOAPs in under 90 seconds shared one habit: they trusted the model on the first pass and signed without rewriting. Clinics that still hand-edited every line averaged 6:40 — over four minutes longer. The gap isn't model quality; it's confidence calibration.

We thought the answer was a better model. The answer was learning when to stop fixing it.
Dr. Avery Patel, DACVIM · Madison Veterinary Specialists
What’s in the 107 pages

Eight chapters. Read in order or jump in.

  1. 01

    Adoption · who is using what

    AI scribes lead, AI booking right behind. Where adoption clusters by practice type, size, geography. The 22% who haven't piloted yet — and what they say is blocking them.

    14 pp
  2. 02

    Charting · the ambient SOAP shift

    Median note time dropped from 11 min to 3:20. Outliers reach 38 sec. What separates the fast clinics: confidence thresholds, sign-off discipline, and not editing what the model wrote.

    22 pp
  3. 03

    Scheduling · forecasting the no-show

    Per-appointment risk scoring, double-booking heuristics, recall sequencing. Why weather and reply latency outperform demographics as predictors.

    16 pp
  4. 04

    Comms · drafting and auto-sending

    The line between "draft for review" and "auto-send" — and why most clinics moved it earlier than they expected. Voicemail transcription as the surprise lever.

    12 pp
  5. 05

    Money · invoices, plans, refunds

    Where AI is allowed to act on charges, where it isn't. Sliding-scale plans and AR aging — the workflows that survived the AI rewrite, and the ones that didn't.

    10 pp
  6. 06

    Reports · plain-English Q&A

    Why "show me X" replaced quarterly exports for 64% of practice managers. The questions vets ask first — and the questions they don't want surfaced.

    11 pp
  7. 07

    Compliance · HIPAA, audit, BAAs

    What auditors are asking specifically about AI: training-data lineage, retention, consent. The clauses showing up in BAAs in 2026 that didn't exist in 2024.

    13 pp
  8. 08

    What vets want next

    Open-text answers from 212 practitioners. The features at the top of the list — and the boundaries they want kept.

    9 pp
Methodology

Show our work, before you read ours.

Fielded
January 13 – February 28, 2026
Respondents
212 verified veterinary practices
Geography
United States 78% · Canada 15% · United Kingdom 7%
Practice mix
GP 62% · specialty 18% · ER 10% · shelter 5% · equine 5%
Practice size
1–2 vets 38% · 3–5 vets 42% · 6+ vets 20%
Method
Online survey, anonymized, optional follow-up interviews
Margin of error
±5.6 percentage points at 95% confidence
Total pages
107 · 38 charts · 14 case studies
Citation

Quoting a finding?

Vetch Health, Inc. (2026). The 2026 AI-in-practice report. https://vetch.vet/reports/ai-in-practice-2026
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