The healthcare claim adjudication process represents one of the most complex financial workflows in the medical industry, involving multiple stakeholders, extensive regulatory requirements, and massive volumes of data. Traditional claim processing methods often result in delays, errors, and inconsistent decisions that impact both healthcare providers and patients. AI-driven decision support systems are transforming this landscape by leveraging advanced algorithms to analyze claims data, identify patterns, and provide actionable insights to financial professionals. This technical article examines how artificial intelligence technologies revolutionize healthcare claim adjudication through enhanced decision-making capabilities, real-time analysis, risk assessment, and collaborative human-AI workflows, while considering essential technical implementation factors. The integration of these technologies demonstrates significant advantages in pattern recognition, contextual analysis, and predictive modeling, enabling healthcare organizations to improve operational efficiency while maintaining human oversight for complex determinations
Keywords: Artificial Intelligence, Human-AI collaboration, claim adjudication, healthcare claims, revenue cycle management
