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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

  1. Run the following script to generate branch coverage report: ./decision_coverage.sh
  2. 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!