An intelligent health ecosystem that bridges the gap between clinical efficiency and patient empowerment through AI-driven documentation and analysis.
Role
Founding Engineer
Duration
6 Months & Ongoing
Status
Live
Healthcare professionals spend 2-3 hours daily on documentation, taking valuable time away from patient care.
Patients struggle to understand complex medical reports without professional guidance.
Medical records are scattered across providers, making tracking and organization difficult.
Remembering appointments and medications consistently is a common struggle.
A unified ecosystem consisting of two interconnected applications, designed to serve the distinct needs of users and healthcare providers.
Upload your medical reports and get instant, AI-driven analysis with severity scores.
Never miss an appointment or medication with our smart reminder system.
Store and manage all your and your family's medical reports in one secure place.
Get instant answers to your health questions with our friendly AI.
Visualize your wellness journey, track key metrics, and stay motivated with a personalized dashboard.
Real-time transcription of doctor-patient conversations into structured clinical notes using Google's Speech-to-Text ML.
Comprehensive patient records with history, notes, and treatment tracking. Searchable and filterable patient database.
AI-driven analysis to highlight at-risk patients and suggest preventative care measures.
Floating AI assistant for quick health queries and clinical decision support.
Turning complex problems into powerful features.
Challenge: Converting live doctor-patient conversations into accurate clinical documentation requires handling multiple speakers and medical terms.
Solution: Implemented Google's Speech-to-Text ML with custom post-processing to identify medical terms and structure the transcription. Achieved 90% accuracy.
Challenge: Medical reports contain complex terminology and reference ranges that are difficult for patients to decipher.
Solution: Leveraged Generative AI to analyze uploaded reports, generating severity scores and plain-language explanations.
Challenge: Medical data requires stringent security, privacy considerations, and role-based access.
Solution: Implemented Firebase Authentication, encrypted data storage, RLS-like security rules, and comprehensive audit logging.
Challenge: Ensuring seamless real-time data synchronization between the doctor web dashboard and patient mobile apps.
Solution: Built a unified Firebase backend with optimized Firestore listeners and shared Zod validation schemas across all platforms.
Challenge: Designing a system capable of handling thousands of concurrent users while maintaining low latency.
Solution: Adopted microservices architecture with Node.js/Express, implemented connection pooling for PostgreSQL, and used CDN caching.
Challenge: Users need access to their health records even in areas with poor or no internet connectivity.
Solution: Implemented local-first architecture with SQLite caching on mobile, automatic background sync, and conflict resolution strategies.
Our target outcomes for delivering tangible value to healthcare providers and transparency to users.
As a Founding Engineer, I built the full-stack system using Next.js and Node.js/PostgreSQL, integrated Generative AI for intelligent report analysis, and established rigorous TypeScript standards & testing practices that ensured a 90% documentation accuracy rate.