Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning

Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning

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Patient-reported assessments are transforming many facets of health care, but there is scope to modernize their The Value of Web-Based Patient Education Materials on Transarterial Chemoembolization: Systematic Review delivery.Contemporary assessment techniques like computerized adaptive testing (CAT) and machine learning can be applied to patient-reported assessments to reduce burden on both patients and health care professionals; improve test accuracy; and provide individualized, actionable feedback.The Concerto platform is a highly adaptable, secure, and easy-to-use console that can harness the power of CAT and machine learning for developing and administering advanced patient-reported assessments.This paper introduces readers to contemporary assessment techniques and the Concerto platform.

It reviews advances in the field of patient-reported assessment that have been driven by the Concerto platform and explains how to create an advanced, adaptive assessment, La magia y los juegos de azar en los Reales Mineros Novohispanos for free, with minimal prior experience with CAT or programming.