case study
This platform automates clinical documentation for medical and veterinary practices. It turns doctor–patient conversations into structured notes in real time, reducing administrative work and improving accuracy. It also meets healthcare data rules like HIPAA, GDPR, and SOC 2.
TECHNOLOGY STACK
REACT
NEXT.JS
TAILWIND CSS
MICROSOFT TEAMS
WEB PUBSUB
Healthcare organizations and veterinary hospitals face growing administrative burdens. Manual note-taking and post-visit documentation can consume hours each day, leading to inefficiency, burnout, and increased risk of errors in patient records. The client needed an AI-powered medical scribe platform that could:
For our development team, this meant creating a solution that could handle both medical and veterinary workflows with accurate terminology, deliver real-time transcription and structured summaries using multimodal AI, and provide a modular, secure, and scalable platform that could be customized for diverse practices.
We designed the system as a cloud-native SaaS platform, built for scalability, security, and high performance. The solution had to support multi-specialty medical and veterinary environments, adapting to a wide range of workflows, from human clinical consultations to equine and small-animal care. Our architecture was built to handle 300+ concurrent users, enabling large hospitals, specialty clinics, and distributed healthcare networks to operate efficiently and securely.
Real-Time Transcription Dashboard
Provides live transcription with speaker identification and the ability to make corrections in real time.
Automated Documentation Assistant
Generates structured summaries, SOAP notes, and recommendations immediately after each consultation.
Multilingual Output
Supports English, Spanish, and Arabic, with automatic translation of notes for multilingual teams.
Analytics Module
Monitors clinician productivity, patient interaction times, and key quality indicators.
Onboarding & Support
Includes a dedicated implementation manager, a 4–6 week rollout plan, and a self-service training portal.
The platform was designed around the following capabilities:
The platform converts doctor–patient conversations, surgeries, and consultations into structured medical documentation in real time. It leverages advanced speech recognition models fine-tuned on medical corpora such as ICD-10 and SNOMED CT to ensure accuracy and domain relevance.
It also automatically generates SOAP notes, discharge summaries, and diagnostic documentation, streamlining clinical workflows and reducing manual documentation time.
The platform supports equine, feline, canine, and exotic animal data, with templates for dental charts, anatomical diagrams, and procedure logs.
Clinics and doctors can configure specialty-specific note templates, while the AI learns clinician-specific phrasing and shorthand using contextual few-shot learning.
The platform allows search, summarization, and history extraction from PDF, DOCX, and spreadsheet files. It also provides a conversational interface to quickly review patient history and prior notes.
Clinics reported 35–45% efficiency gains and significant improvement in patient engagement due to reduced administrative tasks.
The AI Medical Scribe solution successfully bridges the gap between clinical practice and digital efficiency. By automating transcription and documentation across both human and veterinary settings, it empowers healthcare providers to focus on patient outcomes while maintaining full compliance and scalability. This deployment demonstrates how AI, NLP, and domain-driven engineering can come together to create a transformative SaaS product, customizable for any healthcare environment.
We have a proven track record of building high quality solutions for customers all over the world.
TALK TO OUR HEALTHCARE AI TEAM
The key to a successful project is a strong business idea backed by real market need, a solid tech solution, and a clear go-to-market plan.
