ClinicAI Details
Project Information
- Category: Web Platform (Microservices)
- Backend: Spring Boot, Microservices
- Frontend: React
- AI: Auto-fill Clinical Records
- Project date: 2025
Project Overview
ClinicAI is an intelligent interoperability platform that turns every healthcare service into billable revenue — without friction. Built on a microservices architecture with Spring Boot on the backend and React on the frontend, it connects disconnected medical systems (HIS/EMR, RIPS, Laboratory, ERP) into a unified pipeline with real-time validation and smart monitoring.
I contributed to key modules including the interoperable clinical history system and the RIPS report generation engine. The platform leverages AI to automatically fill clinical records and consultation notes, drastically reducing manual data entry and errors.
Key Features
Interoperable Clinical History
Unified clinical records system that connects across healthcare providers, ensuring complete patient history is always accessible.
RIPS Report Generation
Automated generation of RIPS (Individual Health Service Records) reports, ensuring regulatory compliance and eliminating manual reporting errors.
AI Auto-Fill
AI-powered automatic filling of clinical consultations and medical histories, reducing manual data entry and improving accuracy.
Real-Time Interoperability
Connects HIS/EMR, RIPS, Laboratory, and ERP systems with automatic validations to eliminate revenue leakage and data silos.