chronic-condition-cohorting

You can segment patients by chronic condition risk by applying CMS Chronic Conditions Warehouse algorithms and HCC groupings to structured claims, enrollment, pharmacy, and optional lab data to produce clinically meaningful cohorts.

Chronic disease cohorting and severity stratification require structured claims, enrollment, and pharmacy data, while optional lab and demographic data enhance clinical severity staging and multi-morbidity analysis accuracy.

Yes, you can identify diabetic patients with an HbA1c above 9% and recent ER visits by combining pharmacy claims, lab values, and utilization patterns to proactively target them for specialized diabetes management programs.

The best way to stratify patient populations for multi-morbidity analysis is applying clinical severity staging and HCC groupings to identify patients with multiple chronic conditions and complex care management needs.

Yes, patient cohorting works directly with CMS Chronic Conditions Warehouse algorithms and HCC groupings to risk stratify populations and generate actionable segments for quality reporting and care management.

You should not use claims-based chronic condition cohorting when you lack structured claims, enrollment, or pharmacy data, as these inputs are required to apply CCW algorithms and produce reliable patient segments.