Post-test probability refers to the likelihood that a patient has a disease or condition after a diagnostic test has been performed, taking into account both the test's results and the patient's pre-test probability of the condition. It is a crucial concept in clinical decision-making, as it helps healthcare providers interpret test results in the context of the patient's overall risk and determine the next steps in diagnosis or treatment.