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Patient-reported assessments are transforming many facets of health care, but there is scope to modernize their 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, for free, with minimal prior experience with CAT or programming.

Original publication

DOI

10.2196/20950

Type

Journal article

Journal

J med internet res

Publication Date

29/10/2020

Volume

22

Keywords

CAT, Concerto, computerized adaptive test, computerized adaptive testing, machine learning, outcome assessment, patient reported outcome measures, Computers, Feedback, Female, Humans, Machine Learning, Male, Patient Reported Outcome Measures, Psychometrics