SigXA: AI Medical Scribe Platform
Built an AI medical scribe platform that converts patient–provider conversations into structured clinical notes.
A&H Solutions Team
A&H Solutions Team
Project Overview
SigXA is an AI-powered medical scribe platform that listens to patient–provider conversations and automatically converts them into structured, clinically relevant documentation. The system acts as a virtual medical assistant, helping clinicians reduce charting time while maintaining accuracy and consistency in clinical notes.
Beyond transcription, the platform was designed to support real clinical workflows. That meant translating free-form conversations into structured note formats, keeping session context intact, and presenting information in a way clinicians could quickly validate without re-reading full transcripts. The goal was to save time while preserving trust in the documentation.
The Challenge
Healthcare documentation is time-consuming, error-prone, and tightly regulated. The platform needed to:
- Accurately capture medical conversations in real-world clinical settings
- Generate structured notes aligned with clinical documentation standards
- Meet Canadian healthcare privacy and compliance expectations
- Remain intuitive for clinicians with minimal onboarding effort
- Be scalable for future features and clinic adoption
Additional constraints included minimizing disruptions to clinician workflows, supporting noisy exam-room environments, and ensuring note quality remained consistent across specialties. The experience also had to feel trustworthy—clinicians needed to quickly verify and approve notes without reading long transcripts.
Because clinical documentation carries legal and billing implications, the system also had to be dependable at scale. We needed to avoid “AI fatigue” by making the tool feel consistent, predictable, and aligned with the way clinicians already think about charting.
Our Solution
We designed and built an end-to-end AI medical scribe platform with a focus on reliability, clarity, and extensibility. Key aspects included:
- A clean clinician dashboard for reviewing and managing generated notes
- AI-driven transcription and summarization optimized for medical contexts
- Structured clinical note generation to support downstream workflows
- A modular, maintainable architecture that supports rapid iteration
- UX decisions focused on reducing cognitive load for providers
We also defined a consistent note schema that maps to common clinical formats, enabling downstream integrations as the product evolves. The system was built to support multiple clinics with role-based access patterns and clear separation of patient sessions.
We focused heavily on the review experience: clinicians could see key sections (HPI, assessment, plan) surfaced clearly, verify quickly, and make small edits without leaving the flow of care. The platform was structured to allow gradual expansion into additional assistant capabilities such as follow-up reminders and visit summaries.
Outcome
The final system significantly improved documentation efficiency and usability for clinicians, reducing manual charting effort and enabling more focused patient interactions. The platform also positioned SigXA for future growth, including expanded assistant capabilities, clinic-level analytics, and deeper workflow integrations.
Operationally, the product established a repeatable workflow for capture → draft → review → finalize, which made adoption simpler for new clinical staff. The result is a dependable scribe experience that balances accuracy, privacy, and speed without overwhelming users.
From a leadership perspective, the system created consistency across providers and reduced variability in documentation quality. It also opened the door for additional operational metrics around visit completion times and documentation turnaround, giving clinics a clearer picture of how to scale.
More Healthcare Case Studies
MyCloudSync: Real-Time Patient Flow Dashboards
Built a patient flow system that keeps each role focused, automates state timing, and surfaces bottlenecks through a dedicated metrics dashboard.
Read Case Study