Patient-provider story: AI and machine learning’s impact on opioid use disorder

The Cerner Opioid Use Disorder Predictor uses AI and machine learning to help clinicians improve patient outcomes. In this session, Douglas Burgess, MD, Truman Medical Center, and his patient will share a firsthand account of identifying and treating opioid use disorder. 

 

The speakers, content managers, and planners from Cerner Corporation do not have any relevant financial interests to disclose.

  • Session Type:Breakout
  • Learning objective 1:Recognize how technology and data can help identify those who may be higher risk for opioid use disorder events.
  • Learning objective 2:Describe how identifying patients at risk of opioid use disorder in the emergency department impacts care in the behavioral health setting.
  • Learning objective 3:Apply learnings from a patient experience with opioid use disorder treatment.
  • Content topics:Clinicals, Intelligence, Patient safety, CommunityWorks
  • Continuing education credits:ACPE, CME, CNE, ASWB, AHIMA, AARC
  • Solutions:Machine Learning, Opioid Toolkit, Emergency Medicine
  • Target audience:Clinical, Data Science, Patient Engagement, Case Management
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