Medical information visualization conceptual model for patient-physician health communication

Yair G. Rajwan, George R. Kim

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

Abstract

Communication between patients and health care providers may require sharing of data and knowledge that is complex and of high-volume. To support communication of these types of information, visualization techniques and tools can reduce cognitive burden in informed patient-centered health decisions and empower patients in their own care. Designing and implementing effective visualization depend on iterative consideration of cognitive needs and tasks of the patient (physical, intellectual, and linguistic), conceptual needs of the communication process (encoding and decoding, shared mental models, and common ground), and pragmatic requirements of care (culture and values) in making health choices. We discuss the evidence, experience, and motivation for a model, the Medical Information Visualization - - Conceptual Model (MIV-CM), to guide the process of patient-oriented visualization design and implementation.

Original languageEnglish (US)
Title of host publicationIHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium
Pages512-516
Number of pages5
DOIs
StatePublished - Dec 1 2010
Event1st ACM International Health Informatics Symposium, IHI'10 - Arlington, VA, United States
Duration: Nov 11 2010Nov 12 2010

Publication series

NameIHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium

Other

Other1st ACM International Health Informatics Symposium, IHI'10
CountryUnited States
CityArlington, VA
Period11/11/1011/12/10

Keywords

  • communication
  • health
  • informatics
  • medical
  • patient
  • provider
  • visualization

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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  • Cite this

    Rajwan, Y. G., & Kim, G. R. (2010). Medical information visualization conceptual model for patient-physician health communication. In IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium (pp. 512-516). (IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium). https://doi.org/10.1145/1882992.1883074