Smart Queue and Appointment Orchestration Platform

The front end of the Smart Queue and Appointment Orchestration Platform is developed using React.js and styled with Tailwind CSS, providing an intuitive, responsive, and seamless user experience for both clients and administrative staff. The back end is implemented using Node.js and the Express framework to handle core operational logic, secure user authentication through JSON Web Tokens, and dynamic scheduling algorithms. The system utilizes MongoDB as its primary database to effectively organize user profiles, service categories, and active appointment records. By integrating WebSocket technology (Socket.io), the platform establishes a real-time, bi-directional communication channel that updates active queue statuses instantly without requiring manual page refreshes. Furthermore, the system incorporates an intelligent Chatbot assistant designed to guide users through the onboarding process and automatically answer frequently asked questions. This solution serves as a highly scalable and foundational step toward modernizing enterprise queue coordination and out-patient healthcare scheduling, significantly reducing physical wait times and facility congestion. In the future, this system could be extended to include predictive data analytics for queue load forecasting, multi-branch facility administration, and multilingual chatbot support to serve a diverse, wider audience.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-03-31
DOI
https://doi.org/10.64388/irev9i9-1715741
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Queue and Appointment Orchestration Platform

Dr. S. Parthasarathy, R. Sharvesh
Iconic Research and Engineering Journals
Healthcare Operations and Scheduling Optimization
article

Smart Queue and Appointment Orchestration Platform

Dr. S. Parthasarathy, R. Sharvesh
article en

Abstract

The front end of the Smart Queue and Appointment Orchestration Platform is developed using React.js and styled with Tailwind CSS, providing an intuitive, responsive, and seamless user experience for both clients and administrative staff. The back end is implemented using Node.js and the Express framework to handle core operational logic, secure user authentication through JSON Web Tokens, and dynamic scheduling algorithms. The system utilizes MongoDB as its primary database to effectively organize user profiles, service categories, and active appointment records. By integrating WebSocket technology (Socket.io), the platform establishes a real-time, bi-directional communication channel that updates active queue statuses instantly without requiring manual page refreshes. Furthermore, the system incorporates an intelligent Chatbot assistant designed to guide users through the onboarding process and automatically answer frequently asked questions. This solution serves as a highly scalable and foundational step toward modernizing enterprise queue coordination and out-patient healthcare scheduling, significantly reducing physical wait times and facility congestion. In the future, this system could be extended to include predictive data analytics for queue load forecasting, multi-branch facility administration, and multilingual chatbot support to serve a diverse, wider audience.

Iconic Research and Engineering JournalsVol. 9(9)
Openalex Percentile: Top 4%
Healthcare Operations and Scheduling Optimization
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Smart Queue and Appointment Orchestration Platform — Dr. S. Parthasarathy, R. Sharvesh · Iconic Research and Engineering Journals (2026) | TGRS Research Map | TGRS