Year: 2025
Type: article
Abstract: Hospital Management Systems (HMS) play a critical role in modern healthcare, ensuring streamlined operations, efficient resource management, and improved patient outcomes. Traditional HMS implementations often suffer from inefficiencies such as manual data entry, redundant workflows, and lack of integration across departments. This study presents an AI-enhanced HMS leveraging XAMPP, MySQL, and web technologies to automate administrative tasks and optimize decision-making. By centralizing operations, the system improves appointment scheduling, billing accuracy, inventory control, and overall hospital workflow. The system design incorporates principles of management and economics, focusing on resource allocation, cost-benefit analysis, and scalability. Performance evaluations reveal a significant reduction in scheduling delays, enhanced data retrieval speeds, and a usability score above 90%. The findings highlight the potential for AI-driven healthcare solutions to reduce operational inefficiencies and improve patient care.
Authors: Syed Farhan Ashraf -, Vaibhav U Navalagi -, Shreeram Shivabasu Badagandi -, Nagaraja G S -
Language: English
Subfield: Emergency Medical Services
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4407520417