Building a global gold standard: How international collaboration strengthens coding quality and AI evaluation

As coding teams collaborate across regions and contribute to shared quality and artificial intelligence evaluation initiatives, a common framework for measuring coding quality becomes essential. Without common evaluation principles, coding decisions may be difficult to compare, benchmark, or use for AI evaluation. Shera Stack, MSN, RN, CRC, and April Russell, MBA, CCDS-O, COC, CPC, CPC-P, CRC, consider how a common approach built around agreement, accuracy, defensibility, and truth provides the foundation for meaningful quality assessment.

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