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Improving Chronic Disease Detection Using Artificial Intelligence (AI)

Cedar Gate experts teamed up with the State of Montana to determine if the use of AI could lead to earlier, more accurate detection of diabetes mellitus in their population.

The client wanted to understand how they could use AI to improve their current programs and identification of members with diabetes. They currently use tools that apply rule-based logic to medical claims in order to identify members with the disease. This traditional method relies on a number of assumptions that can lead to inaccurate analysis, such as missed diagnoses and misclassification of members.

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