Drug Interaction Checker is a Python-based healthcare informatics tool designed to identify potential interactions between commonly used medications. The system helps users check for known drug-drug interactions and provides safety alerts based on a predefined interaction database.
This project demonstrates the application of healthcare informatics, medication safety monitoring, and data-driven decision support systems.
- Check potential interactions between two medications
- Display medication safety alerts
- Simple command-line interface
- Uses a predefined drug interaction database
- Educational healthcare informatics application
- Easy to expand with additional medications and interaction rules
Medication errors and adverse drug interactions remain significant challenges in healthcare systems worldwide. Drug interaction screening tools can help healthcare professionals and patients identify potential risks before medication administration.
This project demonstrates how healthcare technology can support medication safety, improve clinical decision-making, and contribute to better patient outcomes through digital health solutions.
- Python 3
- CSV Dataset
- Healthcare Informatics Concepts
- Clinical Decision Support Principles
Drug-Interaction-Checker
├── README.md
├── drug_interaction_checker.py
├── sample_drugs.csv
└── requirements.txt
- Larger drug interaction database
- Risk classification (Low, Moderate, High)
- Graphical User Interface (GUI)
- Integration with healthcare databases
- Cloud deployment using AWS
- AI-assisted interaction prediction
- Mobile healthcare application support
This project is intended for educational and research purposes only. It is not intended to replace professional medical advice, diagnosis, or treatment.
Ramchandra Pudasaini
Master of Science in Information Technology (MSIT)
University of the Cumberlands
Healthcare Informatics | Cloud Computing | Artificial Intelligence
GitHub: https://github.com/ramhealthai