With sophisticated statistical methodologies, such as decision trees, bootstrapping, Bayesian analyses, neural networks and machine learning, SPH creates insightful analytics that inform health plans and providers about key insights into the experience of their members and patients.
On a descriptive level, SPH’s analytics solutions describe what has happened, how it has changed over time, and how it compares to other plans and providers across the country.
On a predictive level, SPH’s solutions range from predicting a health plan’s CAHPS scores to predicting the perceptions and actions of members across a population in an actionable way.
For more than three decades, SPH Analytics has helped healthcare organizations improve the experience and engagement of their patients and members. Let us bring our unique expertise and analytical and predictive approach to your organization’s challenges.