Improving the Usability and Safety of Digital Health Systems: The Role of Predictive Human-Computer Interaction Modeling

In this paper, we describe techniques for predictive modeling of human-computer interaction (HCI) and discuss how they could be used in the development and evaluation of user interfaces for digital health systems such as electronic health record systems. Predictive HCI modeling has the potential to...

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Bibliographic Details
Published in:Journal of medical Internet research 2021-05, Vol.23 (5), p.e25281-e25281
Main Authors: Paton, Chris, Kushniruk, Andre W, Borycki, Elizabeth M, English, Mike, Warren, Jim
Format: Article
Language:English
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Summary:In this paper, we describe techniques for predictive modeling of human-computer interaction (HCI) and discuss how they could be used in the development and evaluation of user interfaces for digital health systems such as electronic health record systems. Predictive HCI modeling has the potential to improve the generalizability of usability evaluations of digital health interventions beyond specific contexts, especially when integrated with models of distributed cognition and higher-level sociotechnical frameworks. Evidence generated from building and testing HCI models of the user interface (UI) components for different types of digital health interventions could be valuable for informing evidence-based UI design guidelines to support the development of safer and more effective UIs for digital health interventions.
ISSN:1438-8871
1439-4456
1438-8871
DOI:10.2196/25281