Improving the Usability and Safety of Digital Health Systems: The Role of Predictive Human-Computer Interaction Modeling
- Resource Type
- Authors
- Paton, C; Kushniruk, AW; Borycki, EM; English, M; Warren, J
- Source
- Journal of Medical Internet Research, Vol 23, Iss 5, p e25281 (2021)
Journal of Medical Internet Research
- Subject
- Sociotechnical system
Computer science
Computer applications to medicine. Medical informatics
digital health
Psychological intervention
R858-859.7
Health Informatics
01 natural sciences
User-Computer Interface
human-centered design
03 medical and health sciences
Cognition
Viewpoint
0302 clinical medicine
InformationSystems_MODELSANDPRINCIPLES
human-computer interaction
Human–computer interaction
SAFER
Humans
Computer Simulation
Generalizability theory
030212 general & internal medicine
0101 mathematics
User-centered design
business.industry
010102 general mathematics
Usability
Digital health
usability
User interface
Public aspects of medicine
RA1-1270
business
predictive modeling
- Language
- English
- ISSN
- 1438-8871
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.