About

About VetBlood — VDST, AI-Assisted Veterinary Blood Test Analysis

The First Veterinary Decision Support Tool

VetBlood is a VDST grounded in the full global corpus of EBM — bringing the same decision-support rigor used in human medicine to pet blood and urine test interpretation across 12 species.

Our Mission

Help pet owners and veterinary professionals understand blood and urine test results — and make faster, better-informed decisions during the diagnostic process.

Our system is a Veterinary Decision Support Tool (VDST) — a form of health information technology built specifically for this gap. It applies the same decision-support approach that has been transforming human medicine for years, now adapted to companion animals across 12 species.

Every year, millions of pet owners receive blood test results they cannot interpret. The values, abbreviations, and reference ranges mean little without context. Owners walk away from clinics with vague answers, anxious phone calls, and weeks of waiting. VetBlood exists to fix that — making your conversation with the veterinarian shorter, more focused, and more productive, and giving the veterinarian themselves a second-opinion tool grounded in continuously-updated science.

This helps you — but does not replace your veterinarian.

VetBlood Educational Team

The editorial team behind VetBlood combines formal veterinary education, academic and business credentials, and applied AI systems work.

Our team is responsible for prompt design, validation rules, source whitelisting, output review, and continuous quality improvement. We deliberately avoid claiming individual professional licenses we do not hold. Instead, we publish our actual collective credentials transparently — and we let the methodology speak for itself.

VetBlood Educational Team
Editorial & Methodology

Collective credentials our team brings:

  • Diploma in Veterinary Medicine
  • Master’s degree
  • MBA — Master of Business Administration
  • Years of work in AI-assisted data and content systems

Where the Term VDST Comes From

VDST is not a marketing acronym. It is the veterinary equivalent of DDST — a tool from human medicine. CDSS itself applies to human healthcare; VDST does not belong to the CDSS family. What VDST inherits is the methodology and architecture of DDST, applied to companion animals.

CDSS
Clinical Decision Support System

A form of health information technology providing clinicians, staff, patients, or other individuals with knowledge and person-specific information to enhance decision-making in clinical workflows. CDSS exists in human medicine. It is the established context in which decision-support tools are recognized and used.

DDST
Digital Decision Support Tool

A CDSS-class tool in human medicine, redefining how blood and urine laboratory results are interpreted. Built and operating at itsmybloodtest.com — providing patients and professionals with quick, precise, secure interpretation of lab results in minutes.

VDST
Veterinary Decision Support Tool

The veterinary equivalent of DDST. VDST is not part of CDSS — CDSS applies to human medicine. VDST applies the same architecture and methodology that DDST established, adapted to companion animals: species-specific reference ranges, clinical guidelines, and pathology patterns across 12 species. Operating here at vetblood.io.

Why this matters

VDST mirrors the same ethical and operational position that DDST holds in human medicine: the system supports veterinary decision-making — it does not replace the licensed veterinarian. The output is detailed, evidence-backed, and clinically rigorous — but it is presented as decision support, not as autonomous diagnosis. By inheriting DDST’s architecture, the methodology and boundaries are clear, principled, and defensible.

Grounded in the Full Global EBM Corpus

For every individual case, VetBlood draws on the full global corpus of Evidence-Based Medicine (EBM) applicable to that case — not on a hand-picked shortlist of references.

Each analysis is informed by the entire body of veterinary literature: foundational textbooks from a hundred years ago that still define classical pathology, peer-reviewed studies from every decade since, consensus guidelines published by professional bodies, and the most recent research released last week — including, where applicable, m.in. Merck Veterinary Manual, WSAVA (World Small Animal Veterinary Association), AAHA (American Animal Hospital Association), IRIS (International Renal Interest Society), and ACVIM (American College of Veterinary Internal Medicine) consensus statements. These are illustrative — the underlying corpus is the entire global EBM body of veterinary knowledge.

This breadth — every relevant scientific source for the specific case at hand — is something no single human practitioner can carry in their head, and no consumer-facing veterinary tool we are aware of has built before.

Continuously Adapted Multi-Model AI

From dozens of available AI systems — not only the most acclaimed — we evaluate, combine, and adapt models to maximize accuracy in veterinary medicine.

The frontier of artificial intelligence moves faster than any single product release cycle. Rather than commit to one model and stay there, we continuously evaluate AI systems from across the field — including but not limited to those produced by OpenAI, Anthropic, Google, and many others — and select, combine, or layer the variant that produces the most accurate, consistent, and clinically useful output for each specific task.

As better models emerge, we adopt them. As existing models improve, we re-test and update our routing. Quality is a moving target; we move with it. The end goal is straightforward: every report and every article reflects the best AI-assisted interpretation we can deliver on the day it is generated.

Veterinarian + AI: Complementary, Not Competitive

Veterinarians bring deep clinical expertise. AI brings continuously-updated breadth across the global EBM corpus. Combined, both sides cover for what the other cannot.

A veterinarian’s clinical judgment, physical examination, palpation, ultrasound and direct experience with the patient are irreplaceable. New peer-reviewed research is also published every day — and our system continuously updates with the latest publications, surfacing context that complements the veterinarian’s expertise with up-to-the-minute access to the global EBM corpus.

Together — a vet’s clinical judgment plus AI’s breadth of recall — we deliver more comprehensive support than either could deliver alone.

This is not a competition between AI and human clinicians. It is collaboration — pairing what each does best.

What Makes VetBlood Distinct

A handful of consumer-facing veterinary AI tools exist. Here is where VetBlood is meaningfully different.

12

Broadest species coverage

VetBlood supports 12 species — dogs, cats, horses, rabbits, guinea pigs, ferrets, rats, mice, hamsters, goats, sheep, and cattle. Most consumer tools cover only the three most common.

Specialized depth, not broad records

Other tools manage broad health records and timelines. VetBlood goes deep on the single thing pet owners actually need urgently interpreted: blood and urine test results.

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DDST methodology lineage

VDST is the only consumer veterinary tool built directly on the methodology established by DDST — the human-medicine Blood & Urine Analyzer (itsmybloodtest.com). The same architecture, applied to veterinary care.

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Full EBM corpus access

Per-case access to the entire global Evidence-Based Medicine literature applicable to that case — not a hand-curated shortlist of five sources.

$

One-time per-analysis pricing

Pay only for what you use. No subscription, no app store lock-in, no monthly bills for a service you might use once a year.

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Built for clinics too

Co-branded reports, clinic packs, and a partnership program let veterinary professionals integrate VetBlood directly into their workflow.

Try VetBlood with your own pet’s results

Upload your pet’s blood or urine test report and receive a vet-grade interpretation in 2–5 minutes. 14-day money-back guarantee.

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