Healthcare Management System

Abstract

Our proposed “Healthcare Management System” is an AI integrated Django-based web application project aimed to connect the patients and the best qualified doctors in an online platform so that both can save their time and money. Besides, its main objective is to reduce the sufferings of patient. Using this system, patient can easily find out the qualified doctors in short time, avoid long-time journey in traffic jam, reduce the healthcare cost and save time. Our system is a blessing for them especially who are incapable to move. Our AI integrated face detection login system will ease their suffering. Standing on a foundation of HTML, CSS, JavaScript, Bootstrap for mobile-friendly UI, Python Django for backend, PostgreSQL for database. The platform provides the patients registration, login approval, view options like see the upcoming appointments, recent appointments, updated reports from doctors, the detail information of doctor, quick action options like update profile, and finally the most important task book doctor. To join the platform, doctors have to be verified by admin panel after registration. After verification, it provides the doctors login approval, view options like see the upcoming appointments, pending appointments, the detail information of patient in dashboard, quick action options like edit profile, update report, manage their availability time, mark as completed or decline appointment. For administrators, it offers a set of powerful instruments for working with doctors, patient and promotions, as well as statistical specifications for the decision-making process. The project also focuses on factorability with features such as load balancing and efficient database queries for large traffic and volume data of doctors. Though, there has been a provision of security with compliance to standards for data protection. Some of the activities involved were designed to come up with the doctors included testing and documenting to ascertain whether the doctor was functional, reliable, and available for patient. The issue like performance, responsiveness, and the usability design was solved through the use of incremental problem-solving and teamwork. Through the use of these technologies and adopting the latest trends in designing, the platform seeks to help businesses grow while at the same time making searching for doctors easy and enjoyable for patients while equipping businesses with effective tools in their operation