Evaluation of KNAVE-II: A tool for intelligent query and exploration of patient data

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

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We present the results of a preliminary evaluation of KNAVE-II, a distributed knowledge-based computational framework for visualization, interpretation, and exploration of time-oriented clinical data and of multiple levels of concepts derived from the data. KNAVE-II uses a distributed temporal-mediation architecture to access at runtime a domain-specific knowledge base (KB) that contains properties of the clinical data and a knowledge-based temporal-abstraction problem-solving method to compute 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 an electronic spreadsheet (ESS) or Paper. Subjects answered high complexity queries significantly faster using KNAVE-II than Paper or ESS. User satisfaction with KNAVE-II was significantly superior compared with satisfaction using Paper or ESS based on a standard usability scale. Users also explicitly ranked KNAVE-II as superior to Paper and ESS.

Original languageEnglish
Pages (from-to)648-652
Number of pages5
JournalStudies in Health Technology and Informatics
Volume107
DOIs
StatePublished - 1 Jan 2004

Keywords

  • Clinical Decision Support Systems
  • Medical Informatics Computing
  • User-Computer Interface
  • temporal reasoning

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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