The Center advances human-centered approaches to clinical risk prediction by integrating patient context and relevant social and environmental factors into algorithm development and validation. Beyond statistical accuracy, the Center’s work emphasizes interpretability, usability, and ethical alignment with patient care. By engaging clinicians, patients, and other stakeholders in the co-design process, the Center ensures that risk prediction models are clinically meaningful, actionable, and capable of guiding personalized interventions.
