Autor: |
Martins SB; Center for Primary Care and Outcomes Research, Stanford University School of Medicine, Stanford, CA, USA., Shahar Y, Galperin M, Kaizer H, Goren-Bar D, McNaughton D, Basso LV, Goldstein MK |
Jazyk: |
angličtina |
Zdroj: |
Studies in health technology and informatics [Stud Health Technol Inform] 2004; Vol. 107 (Pt 1), pp. 648-52. |
Abstrakt: |
We present the results of a preliminary evaluation of KNAVE-II, a distributed knowledge-based computational framework for visualization, interpretation, and exploration of longitudinal clinical data and of multiple levels of concepts derivable from these data. KNAVE-II uses a distributed architecture to access at run-time clinical time-oriented data, a domain-specific knowledge base containing properties of the clinical data, and a knowledge-based problem-solving method for computing on-the-fly interpretations of these data. The purpose of the evaluation was to compare efficiency and user satisfaction when answering clinical queries of variable complexity about clinical time-oriented data using KNAVE-II, versus using methods available in standard clinical settings: paper chart or electronic spreadsheet (ESS). Subjects answered high-complexity queries significantly faster using KNAVE-II than when using paper or ESS. User satisfaction with KNAVE-II was significantly superior compared to satisfaction using paper or ESS, based on a standard usability scale. Users also explicitly ranked KNAVE-II as superior to paper and the ESS. |
Databáze: |
MEDLINE |
Externí odkaz: |
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