Patient–Clinician Communication: The Roadmap for HCI

Lauren Wilcox, Rupa Patel, Anthony Back, Mary Czerwinski, Wanda Pratt, Eric Horvitz, Paul Gorman

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

10 Scopus citations

Abstract

Effective communication between patients and their clinicians during clinical encounters has a positive impact on health outcomes. Technology has the potential to help transform this synchronous interaction, but researchers are still at early stages of developing interventions to assess and improve patient–clinician communication. In this workshop, we envision opening up a dialogue among researchers and clinicians who wish to discuss directions for future research in this domain. In particular, the workshop will focus on exploring how technologies available today, as well as projected for the future, can support the communication needs of clinicians and patients.

Original languageEnglish (US)
Title of host publicationCHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems
Subtitle of host publicationChanging Perspectives
PublisherAssociation for Computing Machinery
Pages3291-3294
Number of pages4
Volume2013-April
ISBN (Electronic)9781450318990
DOIs
StatePublished - Apr 27 2013
Event31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 - Paris, France
Duration: Apr 27 2013May 2 2013

Other

Other31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013
CountryFrance
CityParis
Period4/27/135/2/13

Keywords

  • Communication technologies
  • Health communication
  • Patient–clinician communication

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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  • Cite this

    Wilcox, L., Patel, R., Back, A., Czerwinski, M., Pratt, W., Horvitz, E., & Gorman, P. (2013). Patient–Clinician Communication: The Roadmap for HCI. In CHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems: Changing Perspectives (Vol. 2013-April, pp. 3291-3294). Association for Computing Machinery. https://doi.org/10.1145/2468356.2479669