An overview of developing clinical prediction models in family practice.

Abstract

Clinical prediction models are rapidly gaining recognition as valuable tools for enhancing decision-making in family practice. This is driven by the increasing availability of high-quality, routinely collected data. This paper offers a practical introduction to developing clinical prediction models using family practice data, presenting a clear, step-by-step framework that covers key stages from defining objectives to planning implementation. By clarifying the development process, it aims to empower family physicians and family practice researchers with the foundational knowledge needed to engage in model development and contribute to tools that improve patient outcomes through accurate, timely, and personalized patient care.