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AI assistant for safer surgeries in vet clinics

A reputable U.S.-based veterinary clinic network offering comprehensive animal healthcare services across general surgery, preventive care, dental procedures, and emergency treatment.

Data science & AIVeterinary
Icon 1USA
Icon 2Veterinary
Icon 3Since 2022
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Key achievements

90%

and more accuracy in anesthesia dosage calculations

30%

reduction in surgical prep time

24%

increase in vet team productivity

Challenge

The client, a veterinary clinic group with an existing SaaS platform, faced growing operational pressure as patient volume increased and procedures became more complex.

  • Inefficient anesthesia preparation

    Vets spent excessive time manually calculating dosages and cross-checking vitals, reducing time for high-value clinical work.

  • Fragmented patient data

    Clinicians navigated multiple apps to access lab results, medical history, and medications, slowing care and increasing the risk of errors.

  • Workflow bottlenecks

    When an emergency overlapped with routine surgeries, staff had no automated triage or reallocation. Imaging techs were idle while nurses juggled tasks, and one procedure was rushed, costing over an hour in coordination and raising the risk of error.

  • Care quality under growing demand

    Increasing patient volumes and more complex cases strained staff capacity, making it harder to ensure timely, precise care and minimize the risk of complications, while also putting additional pressure on staff.

Despite the SaaS platform’s basic functionality, these challenges highlighted the need for AI-driven assistance to optimize workflows and improve treatment accuracy.

Solution

We created an assistant for safer surgeries as a central component of a comprehensive SaaS platform.

Integrated into a mobile app as well, the assistant uses real-time data and adaptive decision-making to help veterinarians make safer and faster decisions during surgeries and patient management – right at the point of care.

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    Anesthesia dosage optimization

    The assistant, using machine learning (ML) technology, calculates anesthesia dosage using historical medical data, patient vitals, and medication profiles. It factors in unique patient traits (breed, age, previous surgeries, comorbidities) and adjusts dosages in real time as vitals change. This reduces dosage errors and adapts to patient responses mid-procedure.

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    Pre-op risk assessment & triage

    Before surgery, the tool scans the patient’s history and current vitals to flag potential anesthesia risks like cardiac history or abnormal lab results and suggests additional tests if needed. It classifies surgical risk levels and provides confidence scores for proceeding.

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    Real-time vitals interpretation

    During surgery, the ML-powered tool continuously monitors vital sign charts and identifies patterns that may indicate distress, such as potential hypoxia, arrhythmia, or anesthesia overdose. It alerts the vet team and recommends intervention steps.

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    Personalized protocol generator

    Based on species, weight, prior medical history, and typical outcomes, the assistant creates personalized anesthetic protocols for each patient. These templates evolve over time as the system learns from historical success rates and updates best practices.

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    Dental and wellness insights

    For dental procedures, the assistant interprets historical dental charts, predicts future risks (e.g., likelihood of periodontal disease), and offers preventive treatment recommendations based on breed and dietary history.

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    Conversational AI interface

    An in-app chatbot allows the veterinary team to ask natural-language questions during procedures or case reviews, such as: ‘Show last 3 surgeries with similar vitals’ or ‘Show optimal anesthesia for an American Akita with low HGB.’ The assistant responds with clear, concise guidance backed by data.

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    Offline predictive support

    Even without an internet connection, the platform provides surgical risk scores and dosage guidance using a condensed on-device model, ensuring uninterrupted use in field clinics or mobile operations.

Project scope

To build the smart vet assistant, available on both desktop and mobile, we took a phased approach:

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  • Discovery phase

    • Analyzed practitioner workflows, patient data flows, and operational bottlenecks through audits and interviews.
    • Mapped accuracy risks in anesthesia and inefficiencies in cross-team coordination into priority use cases.

  • Data science

    • Defined AI applications across case management, anesthesia dosing, vitals monitoring, triage, and workflow optimization.
    • Built lightweight models for mobile-side calculations and larger predictive/monitoring models trained on AWS SageMaker.
    • Training data included vitals, species, medication protocols, and historical case outcomes.

  • Frontend & UX

    • Embedded AI features into a mobile app for vets/nurses and two admin panels for managers and platform admins.
    • Designed smart templates, suggestion widgets, and monitoring alerts to blend seamlessly into clinical routines.

  • Backend & cloud infrastructure

    • Deployed as a cloud-native service on AWS using ECS Fargate for elastic scaling, RDS for database reliability, and CloudFront for fast global access.
    • Blue-green deployments ensured safe, continuous updates.
    • Staged rollout to high-usage clinics with feedback loops for iterative improvements in accuracy and operational efficiency.

How it works

Veterinarians access the AI assistant through the mobile app, while clinic staff (nurses, technicians, administrators) use it via the admin panel of the SaaS platform. They can enter patient data, upload diagnostic results, or attach treatment histories directly within the existing clinic management system.

Once the information is captured, the assistant analyzes vitals, lab results, past records, and prescribed medications to deliver tailored recommendations.

That’s how the tool operates based on the data collected:

  • Evidence-backed safety

    Potential contraindications (e.g., abnormal hematocrit, drug interactions) are flagged automatically, ensuring no critical detail is overlooked.

  • Protocol generation

    Vet opens the in-app chat and types: “Generate anesthesia protocol for a 6-year-old American Akita, 35 kg, low HGB.” The assistant instantly produces a tailored protocol with safe dosages, highlighted risks, and monitoring guidance.

  • Post-op instructions

    The tool generates clear discharge notes in plain, client-friendly language, customized to procedure, medications, and language preferences.

  • Real-time support

    During surgery, the vet can ask follow-ups like: “What if HR drops below 70?” The assistant provides immediate, evidence-based adjustments.

  • Workflow integration

    The assistant compiles a complete patient snapshot (lab reports, vitals, imaging, and medication history). During emergencies, it also suggests triage order (e.g., stabilize trauma case first, postpone dental check) and flags overlapping schedules for faster coordination.

Project screenshots

Desktop

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Mobile

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Team

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    Project Manager x1

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    AI/ML Engineer x2

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    Front-end developer x1

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    Back-end developer x1

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    QA Engineer x1

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    UX/UI Designer x1

Tools & Technologies

Amazon SageMaker
Elasticsearch
GPT-4
LlamaIndex
PostgreSQL
Python
React
TensorFlow
TypeScript

Project results

  • Over 12 months, the AI assistant cut surgical prep time by 30% and boosted veterinarian productivity by 24%, making daily operations smoother and less stressful.

  • Anesthesia dosing accuracy reached 97%, reducing the risk of complications in high-stakes surgeries with real-time calculations and alerts.

  • Clinics saw fewer post-op questions from clients, faster case turnaround, and a significant drop in anesthesia-related incidents, improving overall patient safety.

The stakeholders' and users' feedback

  • With the AI looking over the data, we feel more in control. Surgeries run smoother, and our patients are safer because nothing slips through the cracks.”

    Veterinarians

  • Our teams are more efficient, and post-op data helps us improve protocols every month. The assistant has already saved several pets in tricky procedures.”

    Clinic manager

  • The instructions have become easier to understand, so we felt confident giving medication at home. Our cat recovered even faster than we expected!”

    Pet owners

From prep to post-op – make every step smarter with AI

Let’s shape the future of animal care together!

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