Smart web-based hospital management system with machine learning integration

Web-Based HMS is an all-embracing web-based system that targets the automation of the operations in the hospital, avoiding long inefficiencies of paper work and saving the environment. PHP, MySQL, HTML5, CSS3, JavaScript, Python, and Flask are the technologies on which it is deployed. It facilitates efficient management of patient data, timetables, and administrative processes. It eradicates time-worn slow processes with a centralized electronic system for data accessing and processing in real-time. Administrators at hospitals can store, retrieve, and modify patient data without the use of paper records. Patients can easily register and book appointments through an easy-to-use interface. An English, Telugu, and Hindi appointment assistant facilitates scheduling, making it more accessible. A symptom checker offers initial guidance to minimize unwanted hospital visits. Through secure, scalable database management, the solution reduces administrative tasks, maximizes utilization of resources, improves patient satisfaction, and promotes environmental responsibility by minimizing paper use.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-06-27
DOI
https://doi.org/10.1049/icp.2025.1663
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart web-based hospital management system with machine learning integration

K. V. Sowmya, Lingamallu Naga Srinivasu, Krishna Prakash, V. Teju et al.
IET conference proceedings.
Artificial Intelligence in Healthcare
article

Smart web-based hospital management system with machine learning integration

K. V. Sowmya, Lingamallu Naga Srinivasu, Krishna Prakash, V. Teju, Jinka Poojitha, Bobbili Sri Sagarika, Ginnela Naga Amrutha Valli, Gowrisetti Jagadeesh Nagendra
article en

Abstract

Web-Based HMS is an all-embracing web-based system that targets the automation of the operations in the hospital, avoiding long inefficiencies of paper work and saving the environment. PHP, MySQL, HTML5, CSS3, JavaScript, Python, and Flask are the technologies on which it is deployed. It facilitates efficient management of patient data, timetables, and administrative processes. It eradicates time-worn slow processes with a centralized electronic system for data accessing and processing in real-time. Administrators at hospitals can store, retrieve, and modify patient data without the use of paper records. Patients can easily register and book appointments through an easy-to-use interface. An English, Telugu, and Hindi appointment assistant facilitates scheduling, making it more accessible. A symptom checker offers initial guidance to minimize unwanted hospital visits. Through secure, scalable database management, the solution reduces administrative tasks, maximizes utilization of resources, improves patient satisfaction, and promotes environmental responsibility by minimizing paper use.

IET conference proceedings.Vol. 2025(7)
National Institute of Technology Andhra Pradesh (IN), Koneru Lakshmaiah Education Foundation (IN)
Openalex Percentile: Top 82%
Artificial Intelligence in Healthcare
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.

Smart web-based hospital management system with machine learning integration — K. V. Sowmya, Lingamallu Naga Srinivasu, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS