Risk Stratification
Identify high- and rising-risk patients, close HCC gaps, and prioritize care with confidence.

Risk stratification is the process of categorizing patients based on their likelihood of high-cost utilization or adverse health outcomes. By analyzing clinical, claims, and utilization data, ACOs can segment their population into risk tiers—enabling more targeted care management and resource allocation.
Effective risk stratification depends on bringing together fragmented data into a single, trusted source—often referred to as healthcare data aggregation—so insights are complete, accurate, and actionable.
Effective risk stratification goes beyond identifying high-risk patients. It helps organizations:
• Detect rising-risk patients before costs escalate
• Understand the drivers of risk across populations
• Prioritize interventions that improve outcomes and reduce total cost of care
That complete data picture is what makes the difference.




Koan Health has shown itself to be a dedicated partner in our value-based care efforts. Their ability to provide precise and reliable data has been instrumental in advancing our clinical quality initiatives, enhancing our performance, and meeting payers' rapidly evolving data and reporting requirements.
Lee Handke, PharmD, MBA, Chief Executive Officer, Nebraska Health Network
Risk stratification enables earlier intervention, better care management, and improved cost control by identifying high- and rising-risk patients.
CMS uses risk adjustment models to assess the acuity of patients within a population, ensuring that payments are appropriately distributed and cost benchmarks are adjusted to reflect the health status and complexity of the population being served. The HCC risk score reflects the patient's demographics (age and gender), diagnoses, and disease interactions as documented in eligible professional claims. Healthcare providers must document relevant chronic and non-chronic conditions annually to reflect each patient’s acuity and ensure appropriate resources to manage their patient populations.
ACOs should look for solutions that combine integrated data, predictive analytics, and actionable workflows so teams can identify risk early and act on it effectively.
How an ACO achieved a 12% improvement in HCC recapture rates
