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

Episode Date: January 25, 2026

This story was originally published on HackerNoon at: https://hackernoon.com/inside-brevity-ai-the-architecture-powering-real-time-hipaa-compliant-clinical-documentation. Brevity AI’s CTO architected a HIPAA-compliant platform using real-time AI to transform clinical documentation and visit prep at scale. Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #hipaa-compliant-documentation, #healthcare-ai-system, #healthcare-nlp-clinical-notes, #secure-healthcare-data, #medical-documentation, #healthcare-ai-architecture, #medical-transcription-platform, #good-company, and more. This story was written by: @sanya_kapoor. Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com. Brevity AI’s clinical documentation platform compresses hours of chart review and note-taking into minutes through real-time, HIPAA-compliant AI. Architected end-to-end by CTO Purv Rakeshkumar Chauhan, the system combines scalable microservices, medical NLP, secure data infrastructure, and real-time transcription to improve clinician efficiency, accuracy, and patient care.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Inside Brevity AI, the architecture-powering real-time HIPAA compliant clinical documentation by Sonia Kapoor. Modern healthcare technology demands more than incremental improvements. IT requires fundamental architectural innovation that balances performance, security, and clinical usability. Brevity AI, Inc. has developed a groundbreaking clinical documentation platform that transforms how healthcare professionals interact with patient data, compressing hours of preparation

and documentation into minutes via artificial intelligence. As co-founder and CTO, Perv Rakesh Kumar Chohan designed and implemented the entire software architecture, demonstrating exceptional software engineering capabilities by building a production-grade healthcare system from concept to reality. Engineering a complex healthcare solution, full-stack development leadership, the brevity AI platform represents a sophisticated technical achievement requiring mastery across the entire software development lifecycle. Prev independently architected and developed the complete system from initial requirements analysis through production deployment and ongoing maintenance. This comprehensive technical ownership encompasses front-end user interfaces optimized for clinical workflows, back-end services processing

massive medical data sets, AI-ML pipeline integration for intelligent document analysis, and secure data infrastructure managing sensitive healthcare information. The platform's architecture solves a complex technical challenge, processing hundreds of pages of unstructured medical records in real-time while maintaining HIPAA compliance and clinical accuracy. This necessitated designing scalable data processing pipelines capable of ingesting diverse medical document formats, implementing natural language processing workflows that extract

clinically relevant information with precision, and creating intuitive user interfaces that seem to seamlessly integrate into existing clinical workflows. Each architectural decision reflects careful consideration of healthcare's unique technical constraints, from latency requirements for real-time transcription to data residency requirements for patient privacy. Advanced system architecture. Building for Healthcare Scale. The technical architecture of Brevity AI demonstrates sophisticated software engineering principles applied to healthcare's demanding requirements. The system implements a microservices-based architecture that enables individual.

independent scaling of compute-intensive AI processing, document parsing, and real-time transcription services. This modular design allows the platform to handle variable workloads, from processing extensive patient histories during visit preparation to managing real-time documentation during patient encounters without performance degradation. Perves implementation includes advanced caching strategies that optimize response times for frequently accessed patient data, asynchronous processing cues that manage resource-intensive document analysis tasks, and intelligent load balancing that ensures consistent performance across clinical environments. Greater than the platform's data layer employs optimized database schemas specifically greater than designed for medical record structures,

enabling sub-second query performance greater than even when analyzing patient histories spanning decades with hundreds of greater than documents. Real-time AI integration, technical innovation in clinical documentation, the platform's real-time documentation capabilities showcase sophisticated software engineering in AI integration. Perv architected a speech to text pipeline for recognizing medical terminology in clinical conversations. This system processes audio streams in real-time, implementing advanced noise reduction algorithms that filter ambient noise in clinical environments while preserving conversational clarity. The AI-powered note generation system represents particularly complex technical work, transforming unstructured conversations into structured clinical notes

requires sophisticated natural language understanding, medical entity recognition, and template generation algorithms. PIRV designed this pipeline to process extended patient conversations, often 20 to 30 minutes, and generate concise, standards compliant clinical notes within seconds after the conversation concludes. The system employs intelligent chunking strategies tow manage long conversations, contextual analysis to maintain clinical coherence across conversation segments and validation algorithms ensuring generated notes meet documentation standards. Visit preparation intelligence processing complex medical histories. The platform's visit preparation capabilities solve one of healthcare's most time-consuming challenges through advanced document processing architecture.

By analyzing a patient's complete medical history, often 300 plus pages spanning multiple healthcare care systems, the system extracts clinically relevant information, identifies key medical conditions and trends, synthesizes laboratory results across different formats, and presents findings in a clinically useful format. PIRV engineered a multi-stage processing pipeline that handles this complexity. Document ingestion and format normalization for diverse medical record types, intelligent page analysis using computer vision to identify document types, natural language extraction of clinical entities and relationships, temporal analysis to track condition progression and treatment outcomes, and intelligent summarization that prioritizes information by clinical relevance.

This pipeline processes massive document sets in minutes, a task that traditionally requires hours of manual review. Security first development, integrating compliance into architecture. While Pervs cybersecurity background provides foundational expertise, the platform's security implementation demonstrates how security principles translate into practical software architecture. Rather than treating security awesome afterthought, the system implements security by design principles throughout the technical stack. This includes implementing a zero-trust architecture requiring authentication and authorization at every system boundary, designing data encryption protocols for data at rest and in transit, architecting audit logging systems that track all data access for compliance reporting, and building automated

security testing into the continuous integration pipeline. The HIPAA compliance framework extends beyond security to encompass comprehensive technical controls, data retention policies enforced through automated lifecycle management, access control mechanisms with role-based permissions at granular levels, and automated compliance reporting systems that generate audit trails for regulatory review. These technical implementations censure the platform meets healthcare's stringent regulatory requirements while maintaining the performance necessary for clinical workflows. Measurable platform impact, technical achievement driving clinical outcomes, the platform's technical sophistication translates directly into measurable healthcare improvements.

Reducing visit preparation time from hours to minutes demonstrates the document processing pipeline's efficiency. The elimination of after-hours documentation through real-time transcription showcases the speech processing system's accuracy and reliability. Improved clinical accuracy from AI-assisted summarization validates the natural language processing algorithms effectiveness. These outcomes reflect successful software engineering, building systems that solve real problems through technical excellence. From concept to production, complete development life cycle management. Purve's responsibilities encompass the entire development process, defining technical requirements through collaboration with clinicians, designing system architecture and selecting appropriate

technology stacks, implementing features through hands-on software development, conducting comprehensive testing including unit, integration, and end-to-end validation, managing production deployment and monitoring system performance, and iterating based on user feedback and performance metrics. This comprehensive technical ownership ensures cohesive architecture where every component serves the platform's clinical mission. Technical foundation enabling healthcare innovation, Brevity AI's platform represents a significant software engineering achievement, a production-grade healthcare system built through exceptional architectural design and development expertise. Perv Rakesh Kumar Chohan's comprehensive technical leadership, spanning from low-level implementation details to high-level system

architecture, has created a platform that fundamentally improves clinical workflows through intelligent automation. With his strong foundation in security research and academic excellence from Arizona State University informing the platform's robust security, security architecture, Perv continues advancing healthcare technology through software engineering innovation that prioritizes both technical excellence and clinical utility. About Perv Rakesh Kumar-Chohan, Perv Rakesh Kumar Chohan serves as co-founder and CTO of Brevity AI, Inc. Wary leads all aspects of software development and system architecture for the company's clinical documentation platform. With academic credentials from Arizona State University and a foundation in cybersecurity

security research, including DARPA-funded projects, he brings comprehensive technical expertise to healthcare AI development. As the architect and principal developer of the Brevity AI platform, Perv demonstrates exceptional software engineering capabilities across the full technology stack, from user interface design to back-end infrastructure, security implementation, and AI ML integration. This story was distributed as a release by Sonia Kapoor under Hackernoon Business Blogging Program. Thank you for listening to this Hackernoon story, read by artificial intelligence. Visit hackernoon.com to read, write, learn and publish.