The Evolution of Automated Medical Billing With Artificial Intelligence: A Review With a Global and Saudi Perspective

Medical billing is a complex and evolving aspect of healthcare administration that requires accurate documentation and efficient reimbursement processes to maintain institutional financial sustainability. This review explores how artificial intelligence (AI) is transforming medical billing through automation, error reduction, and fraud detection, with emphasis on global developments and initiatives in Saudi Arabia. A comprehensive review of recent studies and real-world applications was conducted to assess AI-driven innovations in automated coding, claims processing, and financial management. AI-based platforms have demonstrated substantial reductions in coding errors and faster claim turnaround times. AI algorithms trained on large billing datasets identify discrepancies in submitted claims, detect potential fraud, and recommend corrective actions, enhancing transparency and compliance. Automated coding systems translate clinical documentation into standardized billing terminology, a global coding framework that assigns numeric identifiers to medical procedures and services, thus improving consistency and reducing human error. Despite these advancements, challenges remain, including data privacy, algorithmic bias, and infrastructure limitations. In conclusion, integrating AI into medical billing can revolutionize administrative efficiency, reduce operational costs, and promote financial sustainability across healthcare systems worldwide, including Saudi Arabia.