Analyze healthcare consumer experience
With sophisticated statistical methodologies, such as decision trees, bootstrapping, Bayesian analyses, neural networks and machine learning, SPH creates insightful analytics that inform health plans about key insights into the experience of their members.
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 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.