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Friday, April 6 • 10:00am - 11:00am
Track 2: INDUSTRY SESSION - Tackling the Opioid Epidemic in Medicaid: Analyze, Communicate, Act

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Medicaid beneficiaries are prescribed opioids at twice the rate of the rest of the population and are up to six times more likely to overdose. How can data analysis and access to information effectively increase opioid safety? One approach being explored by the State of Michigan, CNSI and Watson Health is to use advanced analytics, which provide easy access to these insights that support decision making. This session presents research into how predictive analytics can identify characteristics and patterns of Medicaid recipients with abnormal opioid drug use to show not only who but why a beneficiary is at risk. This predictive analysis could ideally prevent an addiction before it begins and hold irresponsible prescribers accountable. Additionally, different types of users can then interact and communicate via a cognitive conversation both empowering state workers and beneficiaries with real time data and actionable insights.

Speakers
avatar for Christopher Codella

Christopher Codella

IBM Distinguished Engineer, Public Sector CTO, Watson Group
Dr. Christopher F. Codella is an IBM Distinguished Engineer, and Chief Technology Officer, Cognitive Solutions, Worldwide Government. His current activities center around complex data analytics, particularly applying IBM’s Watson technology to build solutions that support the missions... Read More →
avatar for Dev Vijay

Dev Vijay

Director, Data Services, CNSI
Dev Vijay brings 18 years of experience to CNSI; he is responsible for leading the Data Services practice within the Midwest region and manages Data Modeling, Conversions & Business Intelligence. Key contributor to the Data Conversion for the modernization of the Medicaid Management... Read More →


Friday April 6, 2018 10:00am - 11:00am PDT
Key Ballroom 12