A framework for managing cognitive load in electronic medical record systems training

Sarang Hashemi, Frada Burstein

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


    Problems associated with Health Information Technology (HIT) involves human and technical factors. Problems involving human factors, however, are found to be ‘significantly more likely’ to harm patients. A human factor contributing to these problems is cognitive load. While the literature provides a wealth of insight on cognitive load in the area of design and use of HIT, little is discussed about cognitive load in the area of training of these technologies as a prerequisite for competent use. This study explores cognitive load in training of a prevalent form of HIT in intensive care – namely, Electronic Medical Record (EMR) systems. In doing so, the study uses cognitive load theory as a lens to explain cognitive load and its effect on learning and offers a framework for the design of the instructional materials of EMR systems to impose less cognitive load to those who are being trained to use these systems.

    Original languageEnglish
    Title of host publicationAMCIS 2019 Proceedings
    EditorsMartin Santana, Ramiro Montealegre
    Place of PublicationAtlanta GA USA
    PublisherAssociation for Information Systems
    Number of pages5
    ISBN (Electronic)9780996683180
    Publication statusPublished - 2019
    EventAmericas Conference on Information Systems 2019 - Cancun, Mexico
    Duration: 15 Aug 201917 Aug 2019
    Conference number: 25th
    https://aisel.aisnet.org/amcis2019/ (Proceedings)


    ConferenceAmericas Conference on Information Systems 2019
    Abbreviated titleAMCIS 2019
    Internet address


    • Cognitive load
    • Cognitive load theory
    • Electronic medical record systems
    • Health information technology
    • Human factors
    • Instructional design
    • Intensive care unit
    • Training

    Cite this