Integrated Analytical Framework for Optimizing Healthcare Decision Making: a Software Development Approach

Abstract

This thesis presents an Integrated Analytical Framework designed to enhance healthcare decision-making through advanced data analytics. The framework consolidates diverse healthcare data sources and employs sophisticated analytical methods to produce actionable insights that support evidence-based decisions. This study evaluates the framework's effectiveness in addressing key healthcare challenges, such as resource allo- cation, patient management, and treatment optimization, through literature review and experimental analysis. The results indicate that the framework can accurately predict patient outcomes, optimize resource use, and improve healthcare processes. However, issues such as data integration, scalability, and user adoption have been highlighted. The study recommends techniques for improving the framework's usability, interoperability, and practical use. Future research directions include combining developing technologies and investigating novel analytical methodologies. In general, this work emphasizes the importance of ongoing refinement to adapt to changing healthcare needs and maximize the framework's impact on healthcare delivery, ultimately improving patient outcomes on a global scale.