More accurately assessing opioid risk in Medicare members
15 January 2020
Research has shown that opioid misuse has significant financial and clinical implications for both patients and risk-bearing entities. This paper analyzes the risks and costs of opioid misuse and compares machine learning techniques to identify high-risk opioid users against rules-based approaches suggested by CMS.
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About the Author(s)
Jim Hong
Kyle Ligon
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