Enhancing Medical Record Keeping with AI-Driven Automation
MedLog is an innovative medical log application that enables doctors to efficiently track patients, manage medical files, and cross-reference procedures with payments. Designed to reduce administrative burdens, MedLog integrates AI-powered document analysis to extract and structure key data, providing doctors with automated insights while ensuring seamless payment tracking and reconciliation.
The platform is designed as both a web and mobile application, ensuring accessibility for medical professionals in hospitals, clinics, and private practices.
Challenges & Solutions
AI-Powered Data Mining – Integrated Google Vision OCR and Document AI to analyze patient records and extract structured data;
Automated Payment & Procedure Matching – Implemented a cross-referencing system to match procedures with private entity payments, ensuring seamless financial tracking;
End-to-End MVP Development & User Testing – Built a fully functional MVP and tested it with medical professionals to ensure real-world usability.
Technologies Used
- Frontend: Next.js, Tailwind CSS
- Backend: Google Cloud Functions
- AI & Data Processing: Google Vision OCR, Document AI
- Storage & Infrastructure: Firebase, Cloud Firestore
- Platform: Web & Mobile Application
Revolutionizing Medical Record-Keeping & Payment Management
Still in its MVP phase, MedLog can be a game-changer for medical professionals, streamlining administrative tasks:
✅ Increased Efficiency – Doctors spend less time on paperwork and more time with patients;
✅ Automated Insights – AI-driven analysis provides real-time, structured medical data;
✅ Seamless Payment Management – Ensures accurate procedure-to-payment reconciliation for private healthcare entities.
