Can AI in risk adjustment be trusted to code accurately?
Health care’s relationship with artificial intelligence (AI) often swings between two extremes: enthusiasm and anxiety. On one hand, AI is helping clinicians reduce administrative work, uncover relevant information buried in medical records, and identify opportunities to improve patient care. On the other, regulators are becoming increasingly concerned about how AI is used in high-stakes decisions that affect payment, compliance, and patient outcomes.
In February 2026, the Office of Inspector General …
Can AI in risk adjustment be trusted to code accurately?
