2025_EML Capstone Projects

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driven predictive analytics has low to moderate feasibility, as it requires buy-in from staff and may necessitate cultural changes in inventory management practices. After conducting the feasibility analysis, the Cloud-Based Inventory Management System emerged as the chosen solution. This decision is justified based on several key factors. First, it strikes a balance between cost and functionality; although initial expenses are moderate, the predictable subscription model allows for manageable budgeting. The system’s functionality, including real-time tracking and supplier integration, significantly enhances operational efficiency compared to manual or traditional systems (Gentili et al., 2022). Second, the scalability and flexibility of cloud solutions allow them to evolve with healthcare facilities, accommodating changing inventory needs without significant infrastructure changes. Moreover, the high technical and operational feasibility of the cloud-based system makes it a viable option. The availability of cloud-based systems that integrate well with existing healthcare information systems ensures a smoother implementation process, minimizing disruption during the transition. Finally, implementing a cloud-based system can lead to improved patient outcomes by reducing stockouts, managing inventory levels more accurately, and ultimately providing better patient care through timely access to necessary medications and supplies. The selection of a Cloud-Based Inventory Management System addresses the challenges faced in traditional inventory methods while providing a feasible, efficient, and adaptable solution tailored to the healthcare industry's demands. This chosen approach is expected to significantly improve inventory management, optimize resource allocation, and ensure better patient care outcomes.

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