Using Analytics to Predict Opioid Misuse

Jasmine McCammon   Lead Principal Data Scientist, Geneia

Geneia’s model accurately identified 80 percent of people likely to have an opioid abuse diagnosis or an overdose event

Jasmine McCammon, Geneia’s lead principal data scientist, discusses the Geneia Data Intelligence Lab opioid predictive model that she created.

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*Certain data used in this study were supplied by International Business Machines Corporation. Any analysis, interpretation, or conclusion based on these data is solely that of the authors and not International Business Machines Corporation.

+Predictive models, by their very nature, contain certain assumptions. This is not an attempt to practice medicine or provide specific medical advice, and it should not be used to make a diagnosis or to replace or overrule a qualified healthcare provider's judgment.

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