HIMSS Word of the Day #166: Predictive Modeling
Predictive modeling uses historical and current data to build statistical or machine learning models that estimate the likelihood of future events, such as deterioration, sepsis, or readmission. This post explains how models are built and validated, why external validation and ongoing monitoring matter, concerns about bias and alert fatigue, federal transparency requirements, and how nurses use predictions.