Most risk adjustment programs still depend on highly manual "chart-chasing" to code patients’ diagnoses after a provider visit. But there’s a better way: By deploying data science tools such as artificial intelligence and machine learning, risk-adjustment programs can improve the accuracy of documentation without requiring large teams of medical coders. View our infographic to learn how data science not only enables more efficient coding but can also support better care coordination and streamline patient encounters.
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