AI co-pilot for veterinary medical records

The Aristek team developed an AI-powered solution to streamline veterinary medical record processing, enhancing efficiency and decision-making for veterinarians. The smart AI co-pilot functions as an add-on and can be easily integrated into various platforms.

Data science & AI Veterinary

USA

Veterinary

Since 2024

Key achievements

40%	less time spent on medical records review
25%	increase in early detection of health issues
30%	reduction in diagnostic errors

Challenge

The client, the owner of a telemedicine platform, highlighted the growing challenge of managing the increasing vet staff workload. Many specialists were conducting virtual consultations after hours, evenings, or weekends, while others were squeezing them between in-person clinic appointments.

The platform allowed veterinarians to conduct follow-up, post-operative exams, and minor medical consultations remotely, reducing unnecessary clinic visits.

However, each telemedicine consultation required a thorough review of the pet’s medical history, which slowed down the process considerably.

As demand grew, this manual approach limited the platform’s ability to scale effectively, making it difficult to accommodate more pet owners and maximize potential revenue.

There were also challenges in processing veterinary medical records because of:

Large volumes of historical medical records in a variety of formats, including handwritten notes from different clinic departments.
Unstructured and inconsistent data, making it difficult to extract meaningful information.
The need to provide relevant information to animal owners without causing undue anxiety.
The need to accurately analyze health indicators and benchmarks that vary with conditions such as age and pre-existing diseases.

Solution

The client was looking for a service provider with expertise in implementing AI into existing software, ensuring seamless integration while enhancing the platform’s functionality and scalability.

Veterinarians have access to advanced diagnostic tools like digital radiology, CT, MRI, and ultrasound, which are crucial for diagnosing and treating conditions.

However, the true value lies in their ability to interpret the data effectively, which depends on their knowledge and experience. This expertise is further enhanced by other specialists’ knowledge-sharing, research in veterinary medicine, and the pet’s medical history.

To support this process, the Aristek team proposed augmenting the telemedicine platform with an AI-based solution. This allows veterinarians to make informed decisions faster, leveraging both their expertise and the power of AI.

Accurate diagnostic support
AI provides deeper data-driven interpretations of diagnostic images, medical history, and test results, speeding up decision-making and improving accuracy.
Dynamic medical analysis
The solution analyzes medical records in real time, adjusting for factors like age, pre-existing conditions, and current health status.
Identification of rare conditions
AI helps spot rare conditions or correlations that may be challenging for even experienced specialists to detect immediately.
Fast case retrieval
Veterinarians can quickly access relevant past cases and treatment plans, enabling them to identify similar symptoms and make faster, more accurate decisions.
Dynamic health monitoring
AI helps to analyze patient trends continuously, flagging potential health risks based on historical data for proactive care.

Project scope

The main goal of the solution was to analyze all available medical cases to identify potential issues and determine proactive actions that could be taken.

Here’s how the team approached the development and integration process step by step:

Comprehensive data collection
The team gathered diverse veterinary medical records, including handwritten notes, ensuring compliance with privacy standards. Data was stored securely in AWS S3, allowing easy access for processing and training.
Data cleaning & preprocessing
Handwritten text was digitized using Optical Character Recognition (OCR) powered by AWS Textract. The data was then extensively cleaned and standardized through custom-built processing pipelines.
Custom AI model development
A hybrid AI model using NLP and Hugging Face Transformers was developed for text analysis, with GPT-4o powering a complex multi-agent system coordinated by a supervisory agent for task delegation and communication.
Seamless platform integration
The AI-powered tool was integrated into the telemedicine platform using AWS Lambda for serverless execution and AWS API Gateway for secure API communication. This ensured real-time processing of patient data, generating summaries on demand for faster decision-making.
Backend
The backend was powered by Python-based microservices deployed on AWS Lambda for serverless execution. AI processing pipelines used AWS Glue for ETL tasks and OpenSearch for efficient case retrieval. Secure and scalable communication between the platform and the AI engine was established using AWS API Gateway and IAM. This ensured real-time data processing and robust system performance under growing consultation volumes.
Frontend
The AI assistant and dynamic summaries were integrated into the existing React-based interface. Our team ensured a seamless user experience where veterinarians could interact with AI-generated case insights, view flagged risks, and retrieve similar historical cases – all from within the same consultation screen. The design emphasized intuitive UX with a minimal learning curve.

How it works

Let’s say a registered physician on the telemedicine platform received a request from a pet owner about their cat, which had elevated statins in its urine. The veterinarian decided to consult the AI co-pilot for insights into the pet’s medical history.

1
The vet input the request into the telemedicine platform, specifying the cat’s condition. The AI system was immediately called upon to assess and offer assistance.
2
The AI searched through the cat’s medical history. Upon reviewing the pre-parsed and indexed content, the AI identified that this wasn’t the first instance of elevated statins and highlighted recurring patterns in previous cases.
3
Based on the historical data, the AI detected that elevated statins could indicate an emerging trend, pointing to diabetes. It prompted the veterinarian to consider steps for further diagnostics.
4
The AI pulled up similar cases of cats with elevated statins, presenting how other veterinarians diagnosed and treated those conditions. It analyzed data to assess consistency and offered insights into the condition’s progression.
5
By examining long-term trends in the cat’s medical history, the AI predicted potential future risks or complications and suggested tests for blood glucose levels and an oral glucose tolerance test.
6
The veterinarian reviewed the AI-generated insights and decided to schedule a follow-up test. The system also offered recommendations for the most appropriate specialists and appointment slots.

Disclaimer

The final decision regarding the pet’s diagnosis and treatment remains in the hands of the veterinarian, with the AI acting as an additional tool to enhance accuracy and decision-making efficiency.

The AI summarizer does not replace the veterinarian but is designed to assist by:

Aggregating similar cases and identifying patterns.
Analyzing previous diagnoses and treatments by other doctors.
Analyzing long-term health trends in the pet’s medical records.
Offering contextual recommendations based on data, not subjective judgment.

Team

AI/ML Engineer x1
Front-end developer x1
Back-end developer x1
Subject matter expert x1

Tools & technologies

GPT-4

OpenAI

PostgreSQL

TensorFlow

spaCy

AWS Lambda

FastAPI

Project results

The Aristek team leveraged AI to enhance veterinary telemedicine by developing a smart AI assistant that processes pet medical histories, diagnostic images, and treatment plans.

The solution analyzes vast datasets to provide veterinarians with quick, accurate insights, enabling faster and more precise decision-making.

Time savings for staff
The AI-powered tool saved up to 40% of the time veterinarians spent reviewing medical records by instantly extracting key information, identifying relevant patterns, and summarizing past cases.
Early diagnosis improvement
The AI solution enabled a 25% increase in the earlier detection of health issues in pets by flagging trends and symptoms in their medical history. This allowed veterinarians to intervene sooner and improve treatment outcomes.
30% fewer diagnostic errors
The AI co-pilot reduced diagnostic errors by 30% by cross-referencing similar cases and leveraging expert insights. Veterinarians arrived at the correct diagnosis more quickly and accurately, ensuring better patient outcomes.
95% accuracy in parsing past records
The AI achieved over 95% accuracy in digitizing and parsing handwritten medical records, ensuring that even handwritten notes from various clinics could be seamlessly integrated and processed, enhancing overall data accessibility and usability.
Flexible integration across industries
The AI assistant integrates seamlessly into existing systems without requiring full redesigns. Its adaptable architecture supports use cases in healthcare, finance, education, retail, and beyond.

Optimize your veterinary practice with AI-powered diagnostics

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AI co-pilot for veterinary medical records

Key achievements

Challenge

Solution

Accurate diagnostic support

Dynamic medical analysis

Identification of rare conditions

Fast case retrieval

Dynamic health monitoring

Project scope

Comprehensive data collection

Data cleaning & preprocessing

Custom AI model development

Seamless platform integration

Backend

Frontend

How it works

Disclaimer

Team

AI/ML Engineer x1

Front-end developer x1

Back-end developer x1

Subject matter expert x1

Tools & technologies

Project results

Time savings for staff

Early diagnosis improvement

30% fewer diagnostic errors

95% accuracy in parsing past records

Flexible integration across industries

Optimize your veterinary practice with AI-powered diagnostics