AI-Driven Event Understanding in Healthcare and Finance with Optimized QA for Multi-Team Development
DOI:
https://doi.org/10.15662/IJRAI.2025.0805001Keywords:
AI-Driven Event Understanding, Healthcare Analytics, Financial Analytics, Multi-Team Software Development, Optimized Quality Assurance, Predictive Analytics, Workflow Optimization, Resource Management, Decision Support Systems, Cross-Domain AIAbstract
AI-driven event understanding is pivotal for enhancing decision-making in complex domains such as healthcare and finance. This paper proposes a framework that leverages artificial intelligence to analyze, interpret, and predict critical events across these domains, enabling proactive responses and improved operational outcomes. Integrated optimized quality assurance (QA) strategies support multi-team software development, ensuring consistent, high-quality outputs while effectively managing resources. The system combines event detection, predictive analytics, and cross-team coordination to streamline workflows, minimize errors, and enhance both patient care and financial decision processes. The framework demonstrates the potential of AI-driven event understanding to deliver scalable, reliable, and high-quality solutions across heterogeneous sectors.
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