Home / Current Issue / Paper 1715548
AI Integrated Hospital ERP System
Subject area: Science,Engineering and Technology · Area of research: AI-Based Healthcare Management
DOI: https://doi.org/10.64388/IREV9I9-1715548
Abstract
Modern healthcare systems still depend on fragmented and partially manual processes for managing patient data, appointments, billing, and internal workflows. Although digital solutions are available, they often function independently and lack intelligent decision-making capabilities. This paper presents an AI-integrated hospital ERP System that combines centralised data management with artificial intelligence to create a unified and adaptive healthcare platform. The system is designed to automate routine operations, minimize human errors, and improve efficiency across all hospital functions. By integrating AI technologies such as chatbots, predictive analytics, and intelligent scheduling, the system enhances patient experience and supports better clinical decisions. This paper outlines the conceptual framework of the system, along with its advantages, limitations, and future scope.
Keywords
Artificial Intelligence, ERP System, Hospital Management, Automation, Healthcare Systems
How to cite this paper
@article{1715548,
author = {Pranav Tanaji Suryawanshi, Yash Ganesh Ekhande, Manisha Anjikhane},
title = {AI Integrated Hospital ERP System},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {2553-2555},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715548.pdf},
abstract = {Modern healthcare systems still depend on fragmented and partially manual processes for managing patient data, appointments, billing, and internal workflows. Although digital solutions are available, they often function independently and lack intelligent decision-making capabilities. This paper presents an AI-integrated hospital ERP System that combines centralised data management with artificial intelligence to create a unified and adaptive healthcare platform. The system is designed to automate routine operations, minimize human errors, and improve efficiency across all hospital functions. By integrating AI technologies such as chatbots, predictive analytics, and intelligent scheduling, the system enhances patient experience and supports better clinical decisions. This paper outlines the conceptual framework of the system, along with its advantages, limitations, and future scope.},
keywords = {Artificial Intelligence, ERP System, Hospital Management, Automation, Healthcare Systems},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715548}
}