TREND #6: USE PREDICTIVE ANALYTICS TO REDUCE READMISSIONS AND IMPROVE OUTCOMES
Predictive Analytics solutions uncover insights from trends and patterns to determine the impact of operational adjustments and market forces on healthcare organizations. Statistical analysis and predictive modeling expand on the findings gained through business intelligence solutions to answer “What will happen?” given certain business and/or clinical situations. Predictive analytics combs through massive amounts of data and analyzes it to find patterns, assess probability of occurrence, and predict outcomes. Healthcare organizations are leveraging predictive analytics to:
- Reduce patient readmissions
- Increase the accuracy of patient diagnosis
- Deliver more targeted care to high-risk patients
- Provide better overall outcomes for the individuals they serve
Mobile and wearable technologies play a key role in predictive analytics. Data from wearable and mobile devices helps provide a 360-degree view of the patient and delivers insights that are critical to enhancing patient care. It is important to remember that predictive analytics should link to clinical priorities and measurable events such as cost, clinical protocols, and patient outcomes and preferences. Predictions just for the sake of predicting are a waste of both money and time.
In the past, there was not enough information to support predictive analytics. But with the evolution of mobile, social, and the Internet of Things, healthcare organizations are engaging more frequently with healthcare consumers outside the walls of the brick-and-mortar. Data from these interactions has not only grown in volume, but it has also become more valuable for healthcare organizations as their focus is on providing high-quality and cost-effective care.
According to Definitive Healthcare, very few hospitals are currently leveraging predictive analytics software, indicating that the market is ripe for growth. Learn more about how Perficient is helping healthcare organizations reduce hospital readmissions with predictive analytics solutions.
This is just one of the healthcare analytics trends for 2016. In our new guide, we take a look at ten analytics trends healthcare executives need to be thinking about in 2016 and beyond. We identify technology strategies and solutions that will help healthcare organizations succeed in a data-driven, digital world.
