Inside Brevity AI: The Architecture Powering Real-Time, HIPAA-Compliant Clinical Documentation

Healthcare documentation remains a persistent burden, consuming hours of clinician time daily and contributing to widespread burnout. Brevity AI addresses this through an architecture specifically engineered for the unique demands of medical data processing: real-time operation, strict HIPAA compliance, and seamless integration into clinical workflows.

The Core Challenge: Speed Meets Security

Clinical environments require systems that can process hundreds of pages of unstructured medical records—lab results, physician notes, imaging reports—within minutes, not hours. Simultaneously, every component must adhere to healthcare's stringent privacy regulations. Brevity AI's solution centers on a microservices architecture that isolates functions like document ingestion, natural language processing (NLP), and speech-to-text transcription. This modular approach enables targeted scaling: during patient visits, resources prioritize real-time audio processing; for pre-visit preparation, computational power shifts to bulk document analysis.

Technical Foundations

• Real-Time Processing: Audio streams from clinician-patient conversations undergo noise reduction algorithms tuned for clinical settings (e.g., beeping monitors, overlapping voices). The system then applies medical entity recognition to convert dialogue into structured clinical notes within seconds after a visit concludes. Sample clinical note templates demonstrate output standardization.
• Document Intelligence: For pre-visit preparation, the platform processes multi-source medical histories (often 300+ pages) through a pipeline: format normalization (PDFs, scanned images), computer vision for document classification, temporal analysis of lab trends, and NLP for condition summarization. Benchmarks show processing completed in under five minutes for 90% of cases.
• Security by Design: Zero Trust Architecture enforces authentication at every service boundary. All data—at rest and in transit—uses AES-256 encryption, while granular audit logs automate HIPAA compliance reporting. Security whitepaper details technical controls.

Measurable Impact

Early deployments show visit preparation time reduced by 70–90%, with real-time transcription eliminating 4–6 weekly hours of after-hours documentation per clinician. Accuracy validation against manual chart reviews found the NLP system captured critical clinical entities (medications, diagnoses) with 98% precision.

Engineering Leadership

CTO Purv Rakeshkumar Chauhan architected the platform from concept to production, leveraging prior cybersecurity research (including DARPA projects) to embed compliance into the stack. The system avoids cloud vendor lock-in, operating across hybrid environments—crucial for hospital systems with legacy infrastructure. GitHub repository showcases foundational libraries for medical NLP.

Market Position

While Brevity AI hasn't disclosed funding, its focus on architectural rigor contrasts with API-driven competitors. By owning the full stack—frontend interfaces optimized for EHR workflows, proprietary NLP models, and encrypted data layers—the platform avoids third-party data handling risks. This integrated approach positions it for hospital partnerships where data governance is non-negotiable.

Brevity AI exemplifies how purpose-built architecture can transform entrenched workflows. Its technical choices—modular scaling, embedded compliance, and clinician-centered design—highlight that in healthcare, infrastructure isn't just supporting operations; it's directly impacting patient care capacity.