10/18/2026
AI is the dominant force in medical billing right now, accelerating both coding intensity and administrative efficiency while raising short-term costs, alongside major efforts to cut credentialing duplication and recent code-set updates that took effect October 1.
Artificial intelligence is reshaping revenue cycle management (RCM), claims processing, coding, and patient collections. Adoption is high: 88% of surveyed health systems were using AI internally (with 71% having pilots or full deployments in finance/RCM), per HFMA data.
CMS Administrator Dr. Mehmet Oz has warned that AI will be inflationary in the short term because it “turbocharges” existing billing systems—enabling more complete diagnosis capture and higher-intensity coding—before delivering longer-term efficiencies (e.g., via accountable care models). This aligns with a Blue Cross Blue Shield Association analysis (released around late September 2026) estimating that increased coding intensity added about $942 million in costs to Blue plans from 2023–2025. Roughly 70% (~$653 million) came from secondary diagnoses (“bump codes”) that shifted claims into higher-paying categories, without corresponding increases in treatment intensity. More than 60% of hospital systems had adopted AI coding tools that scan records, labs, and notes. The share of inpatient stays coded as complex rose from ~37% (early 2023) to ~40% (late 2025).
On the collections side, AI personalization (e.g., Cedar’s platform) has shown gains—one case study reported a 42% rise in patient collection rates. Medical debt remains widespread: 27% of U.S. adults reported personal or family medical debt as of late 2025 (Urban Institute/RWJF).
americanhealthcareleader.com/2026/how-ai-is-reshaping-medical-billing-and-hospital-revenue/