Readmission prediction models are tools designed to identify patients at a higher risk of being readmitted to the hospital within a specific timeframe after discharge. These models use various algorithms and data points to predict the likelihood of readmission. They aim to improve patient outcomes, optimize resource utilization, and reduce healthcare costs.