Drug Standardization & Smart Pharmacopeia Platform
Group 6 — Software Studio, National Tsing Hua University (NTHU)
Rx-Norm Taiwan is a web-based platform that unifies Taiwan's NHI drug codes, WHO ATC classifications, and US RxNorm identifiers into a single searchable interface. It helps pharmacists, physicians, and patients quickly look up drug information and check for drug-drug interactions.
- Drug Search — Search by drug name (English/Chinese), brand name, NHI code, or ATC code with fuzzy matching
- Drug-Drug Interaction Checker — Select multiple drugs and instantly view known interactions with severity warnings
- Prescription OCR Scanner — Upload a photo of a prescription or drug label for automatic drug identification
- Cross-Standard Mapping — Every drug entry links NHI ↔ ATC ↔ RxNorm codes
| Drug Search | Interaction Check | OCR Scan |
|---|---|---|
| Search and browse drugs | Check DDI warnings | Scan prescriptions |
- Node.js (v18 or higher)
- npm (comes with Node.js)
# 1. Clone the repository
git clone https://github.com/YOUR_USERNAME/rxnorm-taiwan.git
# 2. Navigate to the project folder
cd rxnorm-taiwan
# 3. Install dependencies
npm install
# 4. Start the development server
npm run devThen open http://localhost:5173 in your browser.
npm run build
npm run preview| Layer | Technology |
|---|---|
| Frontend | React 18, Vite, CSS-in-JS |
| Backend (planned) | Node.js / Python FastAPI |
| Database (planned) | PostgreSQL, Redis, Elasticsearch |
| OCR (planned) | Tesseract OCR |
| Deployment | Vercel / GitHub Pages |
rxnorm-taiwan/
├── public/ # Static assets
├── src/
│ ├── App.jsx # Main application component
│ ├── main.jsx # Entry point
│ └── index.css # Global styles
├── docs/ # Midterm report & documentation
├── index.html # HTML template
├── package.json # Dependencies & scripts
├── vite.config.js # Vite configuration
└── README.md
| Member | Role |
|---|---|
| Nahathai | PM / Documentation |
| Viriya | Developer |
| Wisli | Developer |
| Sirawee | Developer |
| Shem | ML / OCR Engineer |
This project is for educational purposes — Practice Project of Medical Intelligent Services in Remote Areas course at NTHU.
- Our professors: Tang Chuanyi, Ye Jianyu , Lin Yanren, Lin Wenqi
- Boyo Social Welfare Foundation (mentors)
- Taiwan Health Network Platform (mentors)
- National Tsing Hua University, EECS Department