Predictive analytics can enhance population health management, drive financial performance, and improve outcomes throughout the value-based care landscape.
As healthcare organizations strive to enhance care delivery and boost operational efficiency, digital transformation continues to be a vital strategy for achieving these objectives. For many health systems, this journey involves recognizing the value embedded in their data and unlocking it through big data analytics.
Among the four main types of healthcare data analytics, predictive analytics stands out for its strong potential to create value. Unlike analytics that simply explain past events and their causes, predictive analytics offers insights into what is likely to occur in the future by analyzing historical data trends.
Sure! Here’s a rephrased list of your 10 points:
1. Coordinating patient care
2. Detecting diseases early
3. Promoting health equity
4. Enhancing patient engagement
5. Forecasting for payers
6. Managing population health
7. Advancing precision medicine
8. Optimizing resources and supply chains
9. Stratifying patient risk
10. Achieving value-based care goals
