Patient Tracker Project

Overview

Welcome to the Patient Tracker project! This healthcare management system is designed to streamline patient data management for medical professionals and staff. The project employs a Client-Server architecture, utilizing Python, Flask, MySQL, HTML, CSS, and JavaScript to deliver a comprehensive and user-friendly solution.

Features

• User Roles:

  • Doctors
  • Hospital Management Staff
  • Patients
  • Nurses

• Functionality:

  • User authentication and role-based access control
  • Real-time schedule viewing for doctors
  • Patient data management (addition, retrieval)
  • Business logic for efficient data presentation
  • API development for secure data access
  • Structured and organized data storage in MySQL database

Technologies Used

• Programming Language: Python
• Web Framework: Flask
• Frontend Framework: HTML, CSS, JavaScript
• API Development: Flask
• Database Management System: MySQL
• Version Control: Git (GitHub)

Setup Instructions

1. Clone the repository.
2. Run pip3 install -r requirements.txt. This installs all the necessary libraries.
3. Run ./init.sh from the root folder of the project. This starts up the flask server and installs the necessary libraries.
4. Open http://127.0.0.1:5000/ on any browser to view the UI.

Testing & Analysis

Testing is done using Pytest. It is advised to create a virtual enviroment (python venv, conda) to install the packages. Preferred version of python - python3.8.

Statement Coverage

1. Run the following script to generate line coverage report: ./statement_coverage.sh
2. The statement coverage is approximalty 92%

Decision Coverage

2. Run the following script to generate branch coverage report: ./decision_coverage.sh
3. The decision coverage is approximately 93%

Contribution Guidelines

We welcome contributions to enhance the functionality and user experience. Please follow these guidelines:

1. Fork the repository and create a new branch for your changes.
2. Make sure to test your changes thoroughly before submitting a pull request.
3. Clearly describe the purpose and impact of your changes.

Acknowledgments

We would like to express our gratitude to the open-source community for the tools and frameworks that made this project possible. We would also like to thank Prof. Conboy and her team for their constant guidance.

Happy coding!