The AGS Health white paper traces the evolution of medical coding from paper-based systems to today’s AI-driven, cloud-enabled platforms. Early coding relied on manual processes, but advances in EHRs, computer-assisted coding (CAC), and encoder software improved speed and accuracy. Recent innovations integrate NLP, AI, and Clinical Documentation Integrity (CDI) tools to automate chart analysis, suggest codes, and optimize reimbursement. Case studies show productivity gains—up to 50% efficiency improvements, reduced denials, and millions in recovered revenue. Looking ahead, autonomous coding, predictive analytics, and RPA bots promise near-instant, highly accurate coding, transforming coders into auditors.

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