Evaluating the decision accuracy and speed of clinical data visualizations.

ABSTRACT: Clinicians face an increasing volume of biomedical data. Assessing the efficacy of systems that enable accurate and timely clinical decision making merits corresponding attention. This paper discusses the multiple-reader multiple-case (MRMC) experimental design and linear mixed models as means of assessing and comparing decision accuracy and latency (time) for decision tasks in which clinician readers must interpret visual displays of data. These tools can assess and compare decision accuracy and latency (time). These experimental and statistical techniques, used extensively in radiology imaging studies, offer a number of practical and analytic advantages over more traditional quantitative methods such as percent-correct measurements and ANOVAs, and are recommended for their statistical ef

SUBMITTER: Pieczkiewicz DS 

PROVIDER: S-EPMC3000782 | biostudies-literature | 2010 Mar-Apr

REPOSITORIES: biostudies-literature