An Aligned Framework of Actively-collected and Passively-monitored Clinical Outcome Assessments (COAs) for Measure Selection

Regulators and payers increasingly require Clinical Outcome Assessment (COA) data for approval and reimbursement. COAs can be collected actively or passively, yet no single resource provides a side-by-side comparison of tools that collect complementary or related COA measures. We propose how to align ontologies for actively-collected and passively-monitored COAs into a single framework to allow for rapid, evidence-based, and fit-for-purpose measure selection