After talking the talk about healthcare analytics for several years, healthcare organizations are increasingly ready to walk the walk. Highly adept at capturing patient data, they are eager to establish data warehouses and embrace business intelligence capabilities so they can improve individual patient outcomes and population health.
For example, Carolinas Healthcare System now analyzes 40 different variables to predict — with nearly 80% accuracy — a patient’s risk of readmission within 30 days of discharge.
Here’s how Keith Figlioli, Premier, Inc.’s Senior Vice President of Healthcare Informatics, and Staten Island University Hospital CMIO Al Villarin, MD view the next phase of the Big Data challenge:
- Hospitals should view the move toward enterprise-wide analytics as a marathon, not a sprint.
- Healthcare organizations need to be socially and culturally ready to use data to deliver care and manage operations.
- The goal is to put clinical decision support into the hands of clinicians in real time at the point of care.
- Figuring out how to deliver data and alerts to clinicians in a meaningful way is critical.
Learn more about how Big Data, analytics and predictive modeling can help your organization generate actionable insights to help improve outcomes, better manage performance and thrive in a value-based care environment.