AI co-pilot for veterinary medical records

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:

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.

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:

To ensure smooth integration with the existing telemedicine platform, Aristek’s development team handled both frontend and backend enhancements:

• 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.

One of the key advantages of this solution is its flexibility – it can be seamlessly integrated into any existing platform without requiring a full system redesign.

This approach works not only in veterinary medicine but also in other fields, such as healthcare (e.g., telemedicine platforms), finance (e.g., fraud detection systems), education (e.g., adaptive learning platforms), retail (e.g., personalized recommendation engines), and more.

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.

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.

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.