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Investigating the disagreement between clinicians' ratings of patients in ICUs

Investigating the disagreement between clinicians' ratings of patients in ICUs

IEEE Journal of Biomedical and Health Informatics 17(4): 843-852

We present a Bayesian analysis of ordinal annotations made by clinicians of patients in intensive care. In particular, we investigate the different ways in which clinicians can disagree and how their disagreement is reduced once they take part in a recently proposed procedure (INSIGHT) that aims at improving consistency. The model combines a nonparametric function (loosely interpretable as the health of the patient) with clinician-specific generative procedures for producing the observed ordinal values. Our analysis provides valuable details of the rating behavior of the individual clinicians and shows that the INSIGHT procedure is particularly effective at removing (some) clinician-specific inconsistencies and biases.

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Accession: 053964767

Download citation: RISBibTeXText

PMID: 25055313

DOI: 10.1109/jbhi.2013.2252182

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