Assessing diagnostic performance to reduce diagnostic errors requires a shared understanding of the diagnostic purpose. This article describes the various ways evidence is collected based on the diagnostic purpose: optimal clinical care (e.g., usefulness of testing), population screening and disease surveillance, quality improvement, and regulation (e.g., of machine learning). This is the first in a series of articles that will further elaborate on these diagnostic purposes.