Medical Clinic System

Overview

This repository contains the code and documentation for a Medical Clinic System implemented in Python. The system manages patient data, records, and notes in a clinic, ensuring persistence across sessions. The project was completed in collaboration with a classmate and spans three major phases:

• Assignment 3: Initial implementation of the system's core functionality, including data models and basic operations. We achieved 100% on this assignment, passing all integration tests successfully.
• Assignment 4: Enhancements for persistent data storage and exception handling. We achieved 100% on this assignment, passing all integration tests successfully.
• Assignment 5: Development of a Graphical User Interface (GUI) for improved usability and interaction. We achieved a perfect score (100%). Strengths include well-structured code, effective use of the MVC design pattern, cohesive functions and classes, excellent documentation, frequent and descriptive commits, and a highly user-friendly and intuitive application design.

Table of Contents

• Overview
• Features
• Installation

Features

Core Functionality

• CRUD operations for managing patients and notes.
• Search and filtering capabilities for patient records using PHNs and names.
• Exception handling for invalid operations, such as duplicate entries or invalid updates.

Data Persistence

• File-based storage using JSON for patients and Pickle for patient notes.
• DAO (Data Access Object) pattern for modular and scalable persistence handling.
• Autosave functionality to ensure data integrity across sessions.

Graphical User Interface (GUI)

• Built using PyQt6 with intuitive components for managing clinic data.
• Displays patient lists in QTableView and notes in QPlainTextEdit.
• Fully adheres to the MVC (Model-View-Controller) design pattern for separation of concerns.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/medical-clinic-system.git  
   cd medical-clinic-system