Literature DB >> 18442899

Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data.

Susana B Martins1, Yuval Shahar, Dina Goren-Bar, Maya Galperin, Herbert Kaizer, Lawrence V Basso, Deborah McNaughton, Mary K Goldstein.   

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<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.

Mesh:

Year:  2008        PMID: 18442899      PMCID: PMC2853917          DOI: 10.1016/j.artmed.2008.03.006

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  16 in total

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Authors:  C Combi; L Chittaro
Journal:  Artif Intell Med       Date:  1999-11       Impact factor: 5.326

2.  Intelligent visualization and exploration of time-oriented clinical data.

Authors:  Y Shahar; C Cheng
Journal:  Top Health Inf Manage       Date:  1999-11

3.  Acquisition and analysis of repeating patterns in time-oriented clinical data.

Authors:  S Chakravarty; Y Shahar
Journal:  Methods Inf Med       Date:  2001       Impact factor: 2.176

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6.  Information visualization and its application to medicine.

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8.  Modelling and design of cross-over trials.

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9.  Knowledge-based temporal abstraction in clinical domains.

Authors:  Y Shahar; M A Musen
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10.  Intelligent querying and exploration of multiple time-oriented medical records.

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7.  System for Context-Specific Visualization of Clinical Practice Guidelines (GuLiNav): Concept and Software Implementation.

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