Type of Publication: Journal Articles
Authors: Susana B.Martins, Yuval Shahar, Dina.Goren-Bar, Maya.Galperin, Herbert.Kaizer, Lawrence V.Basso, Deborah.McNaughton, Mary K.Goldstein
Title: Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data
Name of the Journal: Artificial Intelligence in Medicine
Year: 2008
Volume: 43
Issue: 1
Pages: 17 - 34
Abstract: Objective: Evaluate KNAVE-II, a knowledge-based framework for visualization, interpretation, and exploration of longitudinal clinical data, clinical concepts and patterns. KNAVE-II mediates queries to a distributed temporal-abstraction architecture (IDAN), which uses a knowledge-based problem-solving method specializing in on-the-fly computation of clinical queries. Methods: A two-phase, balanced cross-over study to compare efficiency and satisfaction of a group of clinicians when answering queries of variable complexity about time-oriented clinical data, typical for oncology protocols, using KNAVE-II, versus standard methods: both paper charts and a popular electronic spreadsheet (ESS) in Phase I; an ESS in Phase II. The measurements included the time required to answer and the correctness of answer for each query and each complexity category, and for all queries, assessed versus a predetermined gold standard set by a domain expert. User satisfaction was assessed by the Standard Usability Score (SUS) tool-specific questionnaire and by a "Usability of Tool Comparison" comparative questionnaire developed for this study. Results: In both evaluations, subjects answered higher-complexity queries significantly faster using KNAVE-II than when using paper charts or an ESS up to a mean of 255 s difference per query versus the ESS for hard queries (p = 0.0003) in the second evaluation. Average correctness scores when using KNAVE-II versus paper charts, in the first phase, and the ESS, in the second phase, were significantly higher over all queries. In the second evaluation, 91.6% (110/120) of all of the questions asked within queries of all levels produced correct answers using KNAVE-II, opposed to only 57.5% (69/120) using the ESS (p less than or equal 0.0001). User satisfaction with KNAVE-II was significantly superior compared to using either a paper chart or the ESS (p = 0.006). Clinicians ranked KNAVE-II superior to both paper and the ESS. Conclusions: An evaluation of the functionality and usability of KNAVE-II and its supporting knowledge-based temporal-mediation architecture has produced highly encouraging results regarding saving of physician time, enhancement of accuracy of clinical assessment, and user satisfaction. © 2008 Elsevier B.V. All rights reserved.
Keywords: Human computer interaction;Information analysis;Query languages;User interfaces;Visualization; ,
Last Updated: 11/07/2008 00:00:00
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