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A typology of data concepts and contexts in clinician-patient communication

  • Sarah Dunn*
  • , Areti Manataki
  • , Tara Capel
  • , Benjamin Bach
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a typology of concepts and contexts to inform the design of medical data visualizations for clinician-patient communication. As the accessibility, ubiquity and complexity of personal medical data grows, so does the need for patients to understand and interpret it correctly. Based on interviews with 19 healthcare professionals and analysis of current patient communication materials, our typology captures i) the diverse types of medical data communicated; ii) the features clinicians need patients to recognise and understand about these data; iii) contextual information required; iv) motivation for communicating data to patients; and v) current common visualization techniques. In doing so it identifies and defines the key dimensions of data-communication scenarios relevant to data visualizers working with patient data. We apply the typology to classify real world clinical scenarios and through doing so, illustrate how the typology can inform data visualization when designing communication aids for clinicians.
Original languageEnglish
Title of host publication2025 IEEE visualization conference – short papers
Place of PublicationPiscataway, NJ
PublisherIEEE Computer Society
Pages286-290
Number of pages5
ISBN (Electronic)9798331566135
ISBN (Print)9798331566142
DOIs
Publication statusPublished - 30 Dec 2025
EventIEEE VIS 2025 - Visualization and Visual Analytics - Vienna, Austria
Duration: 2 Nov 20257 Nov 2025
https://ieeevis.org/year/2025/welcome

Publication series

NameIEEE visualization conference proceedings
ISSN (Print)2771-9537
ISSN (Electronic)2771-9553

Conference

ConferenceIEEE VIS 2025 - Visualization and Visual Analytics
Abbreviated titleIEEE VIS 2025
Country/TerritoryAustria
CityVienna
Period2/11/257/11/25
Internet address

Keywords

  • Typologies
  • Health communication
  • Data visualization

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