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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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Detalles Bibliográficos
Autores principales: Paton, Chris, Kushniruk, Andre W, Borycki, Elizabeth M, English, Mike, Warren, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193482/
https://www.ncbi.nlm.nih.gov/pubmed/34042590
http://dx.doi.org/10.2196/25281
Descripción
Sumario: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.