An Integrated Framework for Optimizing Case Management Systems through Context-Aware Artificial Intelligence and Dynamic Workflow Reengineering

Abstract

Case management systems (CMS) are fundamental in industries like healthcare, law, and customer service, yet they often suffer from rigidity, inefficiency, and poor adaptability. This paper presents an integrated framework leveraging context-aware artificial intelligence (AI) and dynamic workflow reengineering to optimize CMS performance. In the technological landscape, increasing computational power and advances in context-aware computing enable intelligent automation tailored to individual case scenarios. Our proposed system dynamically reconfigures workflows based on real-time data, enhancing both efficiency and user satisfaction. Through literature analysis and a conceptual framework, we outline the methodology, advantages, challenges, and future pathways for integrating AI-driven adaptability into case management.