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Improving the usability and safety of digital health systems: the role of predictive human-computer interaction modelling
Chris Paton;
Andre W. Kushniruk;
Elizabeth M. Borycki;
Mike English;
Jim Warren
ABSTRACT
In this paper, we describe techniques for predictive modelling 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 (EHR) systems. HCI predictive modelling has the potential to improve the generalisability of usability evaluations of digital health interventions beyond specific contexts - especially when integrated with models of distributed cognition and higher-level socio-technical frameworks. Evidence generated from building and testing HCI models of the user-interface (UI) components for different types of digital health interventions could be synthesised to create evidence-based UI design guidelines. This could support development of safer and more effective user interfaces for digital health interventions in the future.
Citation
Please cite as:
Paton C, Kushniruk AW, Borycki EM, English M, Warren J
Improving the Usability and Safety of Digital Health Systems: The Role of Predictive Human-Computer Interaction Modeling