Healthcare Revenue Cycle Management, ICD-10, Claims Reimbursement, Medicare, Medicaid

Predictive Analytics for Healthcare: Real Examples of Predictive Insights for Healthcare Applications

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Sponsored by: Logi Analytics

Healthcare applications are using predictive analytics and machine learning to deliver more value to their end users. With predictive analytics, applications can address hospital readmission rates, prioritize high-risk patients for screening, predict health outcomes for patients, foresee billing issues, and detect fraudulent claims. 

View the webinar to see real-world examples of predictive analytics in healthcare applications. We’ll also give advice on overcoming the top challenges application teams face when they’re embedding predictive analytics. 

You'll learn:

  • Common uses of predictive analytics for healthcare applications—including hospital readmissions, patient screenings, and billing issues
  • How to handle the most common healthcare data sources
  • How to overcome the top 4 challenges of embedding predictive analytics in applications

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