Application of Data Driven Decision Making in Case of Zewditu Memorial Hospital Antiretroviral Therapy Client Management
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Date
2024-01-10
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Publisher
AAU
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.