Hospital Data Management System 🏥 💻

Problem:

• Long wait times and inefficient scheduling lead to frustrated patients and overwhelmed medical professionals.
• Disjointed communication channels create barriers between patients and their healthcare providers.
• Traditional methods of appointment booking are often cumbersome, requiring multiple phone calls and follow-ups.

Solution:

Hospital Data Management System (HDMS) is a comprehensive online platform that addresses these challenges, providing a seamless and user-friendly experience for both patients and healthcare providers.

Key Features:

• Patient-centric Design:
  • Browse doctors by specialty, location, and availability with ease.
  • Book appointments directly online, eliminating the need for phone calls and long wait times.
• Seamless Appointment Scheduling:
  • Real-time availability allows patients to find and book appointments that fit their schedules.
  • Automated reminders via email and SMS minimize no-shows and improve patient adherence.
• Two-Way Communication:
  • Secure messaging enables patients to communicate with their doctors before, during, and after appointments, fostering better understanding and care.
  • Real-time notifications keep patients informed about upcoming appointments, test results, medication changes, and other important updates.
• Real-Time Data Insights:
  • Advanced data analytics provide valuable insights into patient trends, resource utilization, and operational efficiency.
  • Data-driven decision-making empowers healthcare providers to optimize staffing, scheduling, and resource allocation.

Benefits:

• Improved Patient Experience:
  • Reduced wait times, convenient scheduling, and enhanced patient-provider communication lead to improved overall patient satisfaction.
  • Increased access to healthcare services for patients in remote or underserved areas.
• Increased Doctor Productivity:
  • Streamlined scheduling reduces administrative burden, allowing doctors to focus on providing high-quality patient care.
  • Access to patient information and medical records at the point of care enables more efficient and effective consultations.
• Enhanced Operational Efficiency:
  • Data-driven insights help hospital administrators make informed decisions about resource allocation, staffing levels, and operational processes.
  • Improved communication and coordination among healthcare providers result in better patient outcomes and reduced costs.

Authors

• @NVCLong 🌟
• @LuongAnhVu 🌟
• @NguyenDuy 🌟
• @ThienTran 🌟
• @QuocTrang 🌟
• @NguyenDucTam 🌟

Tech Stack

Client: HTML5, CSS3, Bootstrap4 📋

Server: Node, Express 🚀

Run Locally

Clone the project

  git clone https://github.com/NVCLong/Hospital-Data-Management-PDM-Project

Set up database

  Install XAMMP and start APACHE and MySQL to run the local database then go into the root directory and import test.sql file in http://localhost/phpmyadmin/index.php 

Install dependencies

  npm install

Start the server

  npm start

Features

• Patient Portal 🏥:
  • 📌 Appointment scheduling with doctors
  • 📁 Access to medical records
  • 📧 Secure communication with doctors
• Doctor Portal :doctor::
  • 🗄️ Patient information management
  • 📧 Secure communication with patients
  • 📆 Appointment scheduling and management
• Authentication 🛡️:
  • 🔓 ExpressJS-based authentication system
  • ®️ Login, registration, and logout functionality for doctors and patients

Usage

• Patients 🏥:
  • Register for an account 📝
  • Login, registration 🔑
  • Schedule appointments with doctors 📆
  • View medical records 📁
  • Communicate with doctors 📧
  • Edit their own personal information ℹ️
• Doctors :doctor::
  • Register for an account 📝
  • Login, registration 🔑
  • Manage patient information 🗄️
  • Schedule and manage appointments 📆
  • Update patient's information 📧

Feedback

If you have any feedback, please reach out to us at ngovucaolong9118.thd@gmail.com

License

This project is licensed under the MIT License - check the LICENSE file for details.

Contact

For questions or suggestions, create an issue on the project's GitHub page.