Application of Data Driven Decision Making in Case of Zewditu Memorial Hospital Antiretroviral Therapy Client Management
| dc.contributor.advisor | Mesfin Fikre (PhD) | |
| dc.contributor.author | Mamo Edris | |
| dc.date.accessioned | 2024-03-29T06:30:48Z | |
| dc.date.available | 2024-03-29T06:30:48Z | |
| dc.date.issued | 2024-01-10 | |
| dc.description.abstract | In today's dynamic business landscape, leveraging big data analytics is essential for gaining competitive advantages. However, despite the abundance of data in the healthcare sector, particularly in developing nations like Ethiopia, there remains a notable gap in comprehensive data analysis and decision-making. This study focuses on analyzing the Antiretroviral Therapy (ART) client data from Zewditu Memorial Hospital to uncover hidden insights spanning several years. By employing a quantitative and exploratory research framework, the study integrates Business Intelligence and Data Mining methodologies to investigate the impact of data-driven approaches on patient care quality, resource optimization, and operational efficiency within ART client management. Utilizing visualization techniques through Power BI and predictive modeling with electronic patient information, the study yields concrete results that unveil patterns and trends, offering invaluable insights for predicting treatment outcomes. These findings are anticipated to not only advance academic understanding but also provide practical guidance for care providers, emphasizing the crucial role of data-driven decision-making in optimizing ART client management processes. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/2615 | |
| dc.language.iso | en_US | |
| dc.publisher | AAU | |
| dc.title | Application of Data Driven Decision Making in Case of Zewditu Memorial Hospital Antiretroviral Therapy Client Management | |
| dc.type | Thesis |