Identify Desired Cohorts of Patients from within Entire Population

This is a critical step in population segmentation for the accountable care organization since each sub-population will be managed differently with different anticipated outcomes.
  • Extract data from multiple sources: all payer claims, practice management and clinical systems, health risk assessments
  • Normalize and integrate data from multiple sources
  • Identify patients by demographic information*, diagnosis*, medication, lab result, or symptoms
  • Apply predictive modeling algorithms to identify high risk patients
  • Generate list of patients in cohort*
  • Populate monitoring technology (see Monitor individual patients)
  • Update cohorts by adding newly eligible patients and removing no longer eligible patients (e.g. death)