Using Behavioral and Predictive Analytics to Stop Opioid Abuse

Video created by Dolletta Mitchell Administrator on Mar 31, 2017

    Opioid epidemic is an expensive burden for the healthcare systems and the nation. It is a cause of motivation for major stakeholders as well as government Centers for Medicare & Medicaid Services (CMS).

     

    According to the Centers for Disease Control and Prevention (CDC), "overdose deaths involving prescription opioids have quadrupled since 1999,  and so have sales of these prescription drugs.  From 1999 to 2015, more than 183,000 people have died in the U.S. from overdoses related to prescription opioids."

     

    natural and semi-synthetic opioids map

     

    “Healthcare organizations are being challenged to increase the quality of patient care while reducing cost, and most existing risk scoring solutions don’t provide deep insight into individual patient needs,” says Senior Global Marketing Director at Teradata. “The time is right for healthcare communities to benefit from advanced, disease-specific risk scoring analytics -- based on a broader, Big Data scale, which can improve patient experiences, prevent illness and reduce costs.


    What if you are able to predict patient journey to opioid overuse?  Better yet, what if you can take action before overuse happens and prevents the costs, risks and tragic problems linked with abuse? By applying wide-ranging data analytics against comprehensive data sources, you can predict, intervene, and prevent opioid overuse.  These analytics can be operationalized for reuse and continually refined by leveraging machine learning techniques.

     

    Stop Opioid Abuse before it Occurs

    A common industry tactic to investigating opioid over-utilization is to use standard reporting and BI tools to detect opioid abuse where it has already occurred.  For example, reports on patients that receive greater volume or frequencies of opioid prescriptions or patients who demonstrate drug seeking behavior by obtaining prescriptions from multiple providers.  Or, on the provider side physicians who consistently prescribe outside the guidelines and pharmacies dispensing unusual quantities of opioids.  Often, this methodology identifies cases where opioid addiction is already established and any actions are after the fact.

     

    Teradata Aster Analytics has a variety of analytical tools and techniques referred to as multi-genre analytics that you can use to investigate and predict outcomes.  You can do more than predicting and analyzing the possibility of overuse one time since a one-time solution only helps one time. 

     

    Using Multi-Genre Analytics to Stop Opioid OverutilizationTeradata Aster Analytics takes a different approach.  We advocate creating a repeatable process using new behavioral and predictive analytics techniques to stop the problem before it occurs.  Do not just detect overuse after it has happened. Understand the journey so you can predict and intercede, improving members’ health end result and diminishing costs. 

     

     

    Teradata Aster Analytics has the unique knowledge and analytics to help your organization master an opioid management solution. To learn more contact your account executive to arrange a meeting with one of our solution experts.

     

     


    Related links:

     

    Websites:

    Prevent Patient Opioid Over Utilization | Opioid Mgmt 

    Centers for Medicare & Medicaid Services (CMS)

    Guideline Information for Patients | Drug Overdose | CDC Injury Center 

     

    Datasheets:

    Teradata Opioid Management Solution