Watch this webinar on demand
According to a recent HIMSS survey, 86% of healthcare leaders state that reducing hospital readmission rates was their top analytics priority. Implementing the right analytics strategy and tools to help identify at-risk patients can give providers an extra indication of when and where to focus resources to prevent speedy returns to the hospital and is critical to their success and bottom line.
Watch this webinar as we examine how predictive analytics can be used to help departments across health organizations from clinical, finance, and revenue cycle management determine at-risk patients to help reduce readmission rates.
Learn how self-service analytics helps:
- Access and integrate data from across your organization
- Incorporate advanced analytics to impact patient risks
- Improve analytic accuracy and consistency through a repeatable process
Director of Solutions Marketing
VP Business Intelligence and Data Science
Recommended to Discover
Introducing Alteryx Machine Learning
Introduction to Alteryx Machine Learning
Tips & Tricks for Finding Data-Enabled Jobs
Tools and strategies you can use to help find the right data role.
Les Matinales VISEO
Accélérez votre prise de décisions en vous appuyant sur la data avec la plateforme Alteryx !