Automated Medical Appointment System

Abstract: This project presents a comprehensive web-based healthcare platform designed to streamline access to medical services and enhance patient-provider interactions. Utilizing the MERN stack (MongoDB, Express.js, React.js, Node.js), the platform offers key features such as secure patient record management, appointment scheduling, and reliable health information resources. It incorporates real-time data handling, intuitive navigation, and secure authentication, ensuring a seamless user experience. By addressing gaps in the healthcare system, the platform aims to improve efficiency, transparency, and accessibility, ultimately benefiting both patients and healthcare providers through enhanced communication and service delivery

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-03-29
DOI
https://doi.org/10.22214/ijraset.2025.66714
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated Medical Appointment System

Pavan Reddy B, Prahalad, Rohan Sai Shroff, Sankarshan CN et al.
International Journal for Research in Applied Science and Engineering Technology
Big Data and Business Intelligence
article

Automated Medical Appointment System

Pavan Reddy B, Prahalad, Rohan Sai Shroff, Sankarshan CN, Rachel Evangeline Christian
article en

Abstract

Abstract: This project presents a comprehensive web-based healthcare platform designed to streamline access to medical services and enhance patient-provider interactions. Utilizing the MERN stack (MongoDB, Express.js, React.js, Node.js), the platform offers key features such as secure patient record management, appointment scheduling, and reliable health information resources. It incorporates real-time data handling, intuitive navigation, and secure authentication, ensuring a seamless user experience. By addressing gaps in the healthcare system, the platform aims to improve efficiency, transparency, and accessibility, ultimately benefiting both patients and healthcare providers through enhanced communication and service delivery

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(3)
Openalex Percentile: Top 91%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automated Medical Appointment System — Pavan Reddy B, Prahalad, et al. · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS