Hospital Management System Support Dynamic Resource Allocation And Scheduling Using Asp/Blazor

Abstract

The hospital is the most crucial institution in any country, serving as the place where countless lives are both created and healed. Throughout history, hospitals have played an indispensable role during various pandemics, including plague, cholera, pandemic influenza, typhus, and most recently, Covid-19. Given the large population of many countries, effective hospital management poses a significant challenge for administrators. The advent of information technology systems has revolutionized the medical field. Leading a multidisciplinary hospital in today’s fast-paced world requires adept organizational management, particularly in healthcare. Analyzing the interactions between the hospital’s organizational system and staff is essential for improving overall management. The Hospital Information Management System (HIMS) is a comprehensive web application that encompasses various aspects of clinical workflow. It facilitates the seamless delivery of healthcare services, including management, legal compliance, and financial follow-up. HIMS serves as the backbone for the successful operation of medical facilities. The purpose of this case study is to develop an effective HIMS system. This study was carried out for the purpose of learning and commenting on the performance of hospital management software. The project is based on the medical software that has been used to evaluate them. Note that the project may not provide solutions for all problems that some hospitals are facing, it is a project to combine multiple technologies based on their advantages to create a good Management System. To Complete hospital information management, our project follows a vertical clean architecture approach, combining a Blazor web app for the client side and ASP.NET for the backend. Our choice of database is SQL Server. Additionally, we implement a Resource Allocation and Scheduling algorithm to efficiently assign and schedule staff based on patient arrivals, nurse availability, doctor requirements, and patient booking