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OTAKOYI

enhanced

AI-Powered Medical Scribe Solution for Multi-Specialty and Veterinary Practices

MNDA

Private Company
Company Type
Los Angeles, United States
Location
Project work
Engagement Model
6 - 10 people
Team Size
3 - 6 Months
Duration
$100K - $150K
Budget

About

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.

Challenge, approach, and impact

Challenge

Healthcare organizations and veterinary hospitals face growing administrative burdens. Manual note-taking and post-visit documentation can consume hours daily, leading to inefficiency, burnout, and a higher risk of errors in patient records. The client needed an AI-powered medical scribe platform to automate clinical documentation across human and veterinary care, integrate with EMR systems, and ensure compliance with HIPAA, GDPR, and SOC 2 standards.

Solution Requirements

Automate clinical documentation with real-time speech-to-text transcription and structured summaries while ensuring accurate medical and veterinary terminology across languages and accents. Improve efficiency by generating SOAP notes, discharge summaries, and other documents, provide a secure, scalable platform compliant with healthcare regulations, and enable cross-platform access, including mobile support for telemedicine.

Project Planning

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.

How we built

AI & ML Solutions
Web Apps
Telemedicine

Testimonials

Volodymyr Hodiak, CTO @ undefined

Verified Testimonial

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.

Team structure

Client team

Peter

CTO

The client stakeholders were working closely with the team at OTAKOYI

Agency team

Project Manager

Governance

Team Lead

Production

AI/ML Engineer

Production

Fullstack Engineer

Production

Backend Engineer

Production

QA Engineer

Production

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