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
Citations
IRE Journals:
Pranav Tanaji Suryawanshi, Yash Ganesh Ekhande, Manisha Anjikhane "AI Integrated Hospital ERP System" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 2553-2555 https://doi.org/10.64388/IREV9I9-1715548
IEEE:
Pranav Tanaji Suryawanshi, Yash Ganesh Ekhande, Manisha Anjikhane
"AI Integrated Hospital ERP System" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715548
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