Module 4
The Core Analytics
What the analytics function actually computes: risk stratification and predictive models, total-cost-of-care and utilization analysis, and the registries and care gaps that become work queues.
By the end of this module, you will be able to:
- Build a risk stratification that targets impactability rather than cost alone
- Decompose total cost of care into drivers an organization can act on
- Turn care-gap analysis into a prioritized work queue rather than a report
- Risk Stratification and Prediction Finding who needs attention is the first analytic job. This lesson covers risk stratification and the predictive models that rank a population. About 5 min
- Total Cost of Care and Utilization The core financial analytics of value-based care: where the money goes, why, and where it leaks. This lesson covers cost and utilization analysis. About 4 min
- Registries and Care Gaps The most operationally useful analytics output is not a dashboard but a work queue. This lesson covers registries and care-gap analytics. About 4 min
Module quiz
Answer all questions to see your score.
1. When targeting care management, what matters more than predicting who will be high-cost?
Targeting last year's highest-cost patients invites regression to the mean; finding whose trajectory can be bent is the higher-value goal.
2. Why is decomposition essential when analyzing total cost of care?
Knowing you are over budget is a scoreboard; knowing which drivers cause it is a plan.
3. What distinguishes a useful registry from a report?
The value is naming specific patients who need something and working the list; a report that summarizes without an actionable list changes nothing.