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.
- 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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