Gnaeus: Utilizing clinical guidelines for knowledge-assisted visualisation of EHR cohorts

P. Federico, J. Unger, A. Amor-Amorós, L. Sacchi, D. Klimov, S. Miksch

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

20 Scopus citations

Abstract

The advanced visualization of electronic health records (EHRs), supporting a scalable analysis from single patients to cohorts, intertwining patients' conditions with executed treatments, and handling the complexity of timeoriented data, is an open challenge of visual analytics for health care. We propose an approach that, according to the knowledge-assisted visualization paradigm, leverages the domain knowledge acquired by clinical experts and formalized into computer-interpretable guidelines (CIGs), in order to improve the automated analysis, the visualization, and the interactive exploration of EHRs of patient cohorts. In this way, the analyst can get insights about the clinical history of multiple patients and assess the effectiveness of their health care treatments.

Original languageEnglish
Title of host publicationEuroVA 2015 - EuroVis Workshop on Visual Analytics
EditorsDieter Fellner
PublisherEurographics Association
Pages79-83
Number of pages5
ISBN (Electronic)9783905674866
DOIs
StatePublished - 1 Jan 2015
Event6th International EuroVis Workshop on Visual Analytics, EuroVA 2015 at EuroVis 2015 - Cagliari, Italy
Duration: 25 May 201526 May 2015

Publication series

NameInternational Workshop on Visual Analytics
ISSN (Electronic)2664-4487

Conference

Conference6th International EuroVis Workshop on Visual Analytics, EuroVA 2015 at EuroVis 2015
Country/TerritoryItaly
CityCagliari
Period25/05/1526/05/15

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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