TIEVis: A visual analytics dashboard for temporal information extracted from clinical reports

Robin De De Croon, Artuur Leeuwenberg, Jan Aerts, Marie Francine Moens, Vero Vanden Vanden Abeele, Katrien Verbert

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

1 Citation (Scopus)

Abstract

Clinical reports, as unstructured texts, contain important temporal information. However, it remains a challenge for natural language processing (NLP) models to accurately combine temporal cues into a single coherent temporal ordering of described events. In this paper, we present TIEVis, a visual analytics dashboard that visualizes event-timelines extracted from clinical reports. We present the findings of a pilot study in which healthcare professionals explored and used the dashboard to complete a set of tasks. Results highlight the importance of seeing events in their context, and the ability to manually verify and update critical events in a patient history, as a basis to increase user trust.

Original languageEnglish
Title of host publication26th International Conference on Intelligent User Interfaces, IUI 2021 Companion
PublisherAssociation for Computing Machinery, Inc
Pages34-36
Number of pages3
ISBN (Electronic)9781450380188
DOIs
Publication statusPublished - 14 Apr 2021
Event26th International Conference on Intelligent User Interfaces: Where HCI Meets AI, IUI 2021 - Virtual, Online, United States
Duration: 14 Apr 202117 Apr 2021

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference26th International Conference on Intelligent User Interfaces: Where HCI Meets AI, IUI 2021
Country/TerritoryUnited States
CityVirtual, Online
Period14/04/2117/04/21

Keywords

  • Information visualization
  • Temporal information extraction

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