Coordination Of Care Practice Exam

Risk stratification in care management relies on data that predict future events and resource needs. Clinical data— Diagnoses, lab results, and medications— quantify disease burden and current treatment intensity, making them strong predictors of adverse outcomes. Utilization data showing prior hospitalizations or emergency visits signal patterns of instability and are among the strongest indicators of future high resource use. Social determinants of health data add essential context by highlighting barriers to care, access, and adherence that can elevate risk. Patient-reported outcome measures reveal how patients feel and function, which is valuable for tailoring care, but they are more subjective and vary across individuals, so they are less consistently predictive of near-term risk. They can still enrich care planning, but for identifying who needs the next level of intervention, PROMs are the least essential among these data elements.