The opioid epidemic—misuse, addiction, overdose, and death—is taking a significant toll on public health, and the statistics are staggering. In 2016, more than 11.5 million Americans reported misusing prescription opioids and more than 40% of all U.S. opioid overdose deaths involved a prescription opioid. This crisis is not only destroying lives, it is also having a profound impact on the nation’s economic welfare. The annual cost of misuse or abuse of opioids exceeds $78.5 billion, including the costs of health care, lost productivity, substance abuse treatment, and the criminal justice system.
While there is no simple answer, predictive analytics is playing an important role in helping to combat this crisis by accurately and efficiently identifying patients at high risk of opioid abuse and overdose—whether or not they have had a prescription for opioids. By using EMR and pharmacy data, along with social determinants of health, care management teams can determine if they need to implement targeted interventions before their patients become another opioid statistic.
Did you know, in 2016...
People misused prescription opioids
People died from overdosing on opioids
People misused prescription opioids for the first time
Looking to Identify Patients Likely to Abuse Prescriptions?
Get in touch today to speak with a member of the ClosedLoop team.
Interested in Predicting Another Outcome?
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Potentially Preventable Hospitalizations
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Hospital Acquired Conditions & Infections
Annually, approximately 2 million patients suffer with HAIs in the U.S., and nearly 90,000 are estimated to die. The overall direct cost hospitals incur due to HAIs is estimated to be as high as $45 billion annually.learn more