Literature DB >> 29060389

Using cognitive fit theory to evaluate patient understanding of medical images.

Judy Wawira Gichoya, Mohammad Alarifi, Ria Bhaduri, Bilal Tahir, Saptarshi Purkayastha.   

Abstract

Patients are increasingly presented with their health data through patient portals in an attempt to engage patients in their own care. Due to the large amounts of data generated during a patient visit, the medical information when shared with patients can be overwhelming and cause anxiety due to lack of understanding. Health care organizations are attempting to improve transparency by providing patients with access to visit information. In this paper, we present our findings from a research study to evaluate patient understanding of medical images. We used cognitive fit theory to evaluate existing tools and images that are shared with patients and analyzed the relevance of such sharing. We discover that medical images need a lot of customization before they can be shared with patients. We suggest that new tools for medical imaging should be developed to fit the cognitive abilities of patients.

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Year:  2017        PMID: 29060389     DOI: 10.1109/EMBC.2017.8037347

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach.

Authors:  Mohammad Alarifi; Timothy Patrick; Abdulrahman Jabour; Min Wu; Jake Luo
Journal:  J Digit Imaging       Date:  2021-04-26       Impact factor: 4.903

2.  User Experience of the Mobile Terminal Customization System: The Influence of Interface Design and Educational Background on Personalized Customization.

Authors:  Minzhe Yi; Ying Wang; Xiaoxue Tian; Huichao Xia
Journal:  Sensors (Basel)       Date:  2021-04-01       Impact factor: 3.576

  2 in total

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