TY - JOUR
T1 - Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform with Computerized Adaptive Testing and Machine Learning
AU - Harrison, Conrad
AU - Loe, Bao Sheng
AU - Lis, Przemysław
AU - Sidey-Gibbons, Chris
N1 - Publisher Copyright:
©Conrad Harrison, Bao Sheng Loe, Przemysław Lis, Chris Sidey-Gibbons.
PY - 2020/10
Y1 - 2020/10
N2 - 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.
AB - 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.
KW - CAT
KW - Computerized adaptive test
KW - Computerized adaptive testing
KW - Concerto
KW - Machine learning
KW - Outcome assessment
KW - Patient reported outcome measures
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U2 - 10.2196/20950
DO - 10.2196/20950
M3 - Review article
C2 - 33118937
AN - SCOPUS:85094934099
SN - 1439-4456
VL - 22
JO - Journal of medical Internet research
JF - Journal of medical Internet research
IS - 10
M1 - e20950
ER -