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
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