An enterprise resource planning system with information sharing and data re-use capabilities for hospitals

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Ashesi University
Technology is bringing people and activities closer each day. And a quick review of the technological trends for 2018 reveals that the top 10 trends focus on connecting to a big ‘tree’ with heavy reliance on data (Newman, 2018). In other words, the technological trends are such that each individual technology is developing an interface to link and interact with other technologies. We have seen already, that this is eventually giving rise to artificial intelligence, machine learning and more concepts on big data and data warehousing. This project focuses on applying the trend of data sharing and re-use on a software application. Specifically, integrating individual software modules, each serving a specific organizational function, into a single software. The target is hospitals. The application will allow a hospital to be able to share information across all its domains, maintain patient records nicely and save time and resources. The application was tested both on and offsite. From the results, it can be concluded that the solution is relevant as well as usable. By implementing this solution and applying additional features such as machine learning and artificial intelligence, hospitals can save time and resources while giving better medical care to patients.
Applied project submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, April 2018
Technology, artificial intelligence, machine learning, big data, data sharing, medical care, data warehousing