clinical risk models

Clinical risk models are tools healthcare professionals use to predict the likelihood of a patient experiencing specific health events, such as heart attacks or hospital readmissions. They analyze individual patient data—like age, medical history, and test results—to estimate risks based on patterns learned from large groups of similar patients. These models help clinicians make informed decisions about prevention, diagnosis, and treatment, aiming to improve outcomes and allocate resources effectively. Essentially, they provide a personalized forecast of health risks, supporting better, data-driven care.