The Financial Transformation of Healthcare Through AI-Driven Claims Management

Abstract

AI modified healthcare claims and additional aspects. We analyze the productivity and cost implications of AI-driven healthcare claims processing systems. Artificial intelligence enhances the speed and precision of healthcare claims processing, hence increasing profitability. Research indicates that machine learning, natural language processing, and automation efficiently and accurately manage healthcare claims. A comprehensive literature analysis and empirical case studies assess the impact of AI on operational expenses, claim processing durations, and healthcare provider efficiency. Artificial intelligence reduces errors and optimizes revenue cycle management. Research indicates that these innovations diminish administrative responsibilities, enabling healthcare practitioners to optimize resources and improve patient care.