Token Management System

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Features:

Login and Authentication: Secure access for users to log in and access the system.
Doctor Registration and Management: Register new doctors, manage their details, and update availability.
Patient Registration and Token Generation: Add new patients, automatically generate tokens, and assign them to available doctors.
Appointment and Break Scheduling: Schedule breaks for doctors and manage patient appointments accordingly.
Doctor Availability Management: Update and monitor doctors’ availability in real-time.
Patient Service Management: Serve patients based on available doctors, with automatic reassignment if a doctor is on break.
Dashboard Overview: View and manage registered doctors, patients, and appointment statuses.
End of Day Reporting: Logout or review any unattended patients at the end of the day.

Technology:

Backend: Flask Framework, Python
Hosting: AWS (Amazon Web Services)
Database: SQL for storing image URLs and essential data
Frontend: Html, CSS, JS

Challenge

In many healthcare settings, managing patient flow and doctor schedules can be chaotic and inefficient. Traditional systems often struggle with real-time updates, leading to difficulties in tracking patient appointments, managing doctor availability, and providing timely service. The lack of automated systems for token generation and doctor-patient assignment can result in long waiting times and reduced patient satisfaction. Additionally, scheduling breaks for doctors without disrupting patient service poses a significant challenge.

Goal

The objective was to develop an efficient and user-friendly Token Management System that streamlines the process of managing patient appointments and doctor schedules. The system needed to automate token generation, manage doctor availability, and facilitate seamless patient service. Key goals included: Enabling doctors to be registered and their availability managed effectively. Allowing patients to be registered, assigned tokens, and managed in an organized manner. Providing an intuitive dashboard for managing appointments, scheduling breaks, and serving patients. Ensuring that the system accommodates breaks for doctors without disrupting patient service. Offering a clear overview of patient status and doctor availability.

Result

The Token Management System successfully optimized patient flow and doctor scheduling within the healthcare facility. By automating token generation and doctor assignment, the system reduced waiting times and improved patient satisfaction. The ability to schedule breaks without impacting patient service ensured that doctors could take necessary breaks while maintaining service continuity. The comprehensive dashboard provided an efficient way to manage appointments and monitor patient statuses. Overall, the system enhanced operational efficiency, reduced manual errors, and facilitated a smoother healthcare service experience.

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