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

Chris Paton | Zendy; André Kushniruk | Zendy; Elizabeth M. Borycki | Zendy; Mike English | Zendy; Jim Warren | Zendy

Open Access

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

Author(s) -

Chris Paton,

André Kushniruk,

Elizabeth M. Borycki,

Mike English,

Jim Warren

Publication year - 2021

Publication title -

journal of medical internet research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.446

H-Index - 142

eISSN - 1439-4456

pISSN - 1438-8871

DOI - 10.2196/25281

Subject(s) - usability , generalizability theory , sociotechnical system , computer science , human–computer interaction , digital health , psychological intervention , safer , usability engineering , knowledge management , health care , psychology , computer security , developmental psychology , economics , economic growth , psychiatry

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.

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