Intelligent querying and exploration of multiple time-oriented medical records

Denis Klimov, Yuval Shahar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations


Querying and analyzing multiple time-oriented patient data is a key task during medical research, clinical trials or the assessment of the quality of therapy. In this paper, we present several aspects of the VISITORS system, which includes knowledge-based tools for graphical querying and exploration of multiple longitudinal patient records. We focus on the syntax and semantics of the knowledgebased aggregation query language for multiple time-oriented patient records, and on the graphical queryconstruction interface. The query language assumes an underlying computational method for deriving meaningful abstractions from single and multiple patient records, such as we had previously developed. The aggregation query language enables population querying using an expressive set of constraints. By using our underlying temporal mediator architecture, the time needed to answer typical temporal-abstraction aggregation queries on databases of 1000 to 10000 patients was reasonable.

Original languageEnglish
Title of host publicationMEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics
Subtitle of host publicationBuilding Sustainable Health Systems
PublisherIOS Press
ISBN (Print)9781586037741
StatePublished - 1 Jan 2007
Event12th World Congress on Medical Informatics, MEDINFO 2007 - Brisbane, QLD, Australia
Duration: 20 Aug 200724 Aug 2007

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


Conference12th World Congress on Medical Informatics, MEDINFO 2007
CityBrisbane, QLD


  • Human-Computer Interfaces
  • intelligent visualization
  • medical informatics
  • multiple patients
  • temporal abstraction

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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