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Title: | Person-centered care for dementia patients (backend system) | Authors: | Lew, Timothy Jian Ben | Keywords: | Computer and Information Science | Issue Date: | 2025 | Publisher: | Nanyang Technological University | Source: | Lew, T. J. B. (2025). Person-centered care for dementia patients (backend system). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/183637 | Project: | CCDS24-0555 | Abstract: | Dementia is a progressive neurological disorder that affects millions of individuals worldwide, leading to cognitive decline, memory loss, and impaired decision-making. As the global population ages, the demand for effective care solutions for dementia patients is increasing. The Person-Centered Care (PEAR) system was developed to address this need by providing caregivers and healthcare professionals with efficient access to patient information, improving care quality and coordination. However, the PEAR system has relied on a monolithic architecture for many years. While this approach served its purpose initially, it presents several challenges, including limited scalability, difficulty in maintaining and updating the system, and slower response times as the system grows in complexity. In light of these issues, the migration from a monolithic to a microservice architecture is necessary to ensure scalability, flexibility, and easier maintenance. Microservices allow for the independent scaling of components, faster deployment, and improved resilience. This project focuses on migrating the Patient Service of the PEAR system to a microservice architecture, addressing the limitations of the monolithic structure. In addition to the migration, the author has implemented Continuous Integration and Continuous Deployment (CI/CD) to streamline the development process, ensuring faster and more reliable updates. Furthermore, a logging service has been integrated into the system to create an audit trail, enabling better tracking of changes made to patient data by relevant users. This will improve accountability and transparency in patient care, ensuring a higher standard of service and compliance with regulatory requirements. | URI: | https://hdl.handle.net/10356/183637 | Schools: | College of Computing and Data Science | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | CCDS Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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Final Report.pdf Restricted Access | 5.1 MB | Adobe PDF | View/Open |
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