Accepted for/Published in: JMIR Human Factors
Date Submitted: May 27, 2025
Date Accepted: Dec 1, 2025
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Optimizing Resuscitation Performance with an integrated augmented-reality based decision support system: A Mixed-Methods User-Centered Design Study
ABSTRACT
Background:
Effective cardiopulmonary resuscitation (CPR) during pediatric cardiopulmonary arrest requires precise coordination and adherence to Pediatric Advanced Life Support (PALS) guidelines. However, adherence frequently declines due to cognitive overload, fragmented communication, and disrupted information flow in high-stress clinical environments.
Objective:
This study aimed to design and develop InterFACE, a augmented-reality (AR) digital health system, to support real-time adherence to PALS guidelines and enhance team coordination during pediatric resuscitation.
Methods:
Employing a structured, mixed-methods approach, the research involved persona development, spatial analysis, a Delphi consensus process, iterative user experience (UX) prototyping, and simulation-based usability evaluations. The system comprised a wall-mounted team screen, a tablet-based guiding app, and AR headsets for key team roles.
Results:
Usability evaluations indicated strong acceptance and positive user experiences. Users described the InterFACE system as intuitive, effective in task-specific guidance, and beneficial for real-time decision-making and team synchronization. Challenges noted included managing cognitive load and interface complexity; however, the system showed substantial promise in overcoming limitations of existing paper-based and digital resuscitation tools.
Conclusions:
InterFACE represents a promising advancement in digital cognitive aids, with the potential to significantly improve pediatric CPR practices and outcomes. Future research should focus on comprehensive clinical evaluation through randomized controlled trials, exploration of artificial intelligence-driven enhancements, and integration with broader hospital information systems.
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Copyright
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