Evaluation of the InterFACE-AR System for Cardiopulmonary Arrest

Summary

Cognitive aids are decision support tools that present prompts to encourage recall of information, thus freeing up mental resources to increase the likelihood of desired behaviors. Cognitive aids have been trialed in different forms for use during resuscitation, including pocket reference cards and digital apps. Simulation-based studies of cognitive aid used during cardiac arrest events have shown improved adherence to guidelines, improved time to completing critical tasks, and reduced rate of critical errors. Unfortunately, existing pocket reference cards and mobile apps have significant flaws - they all require providers to search through content to identify relevant information.

In the proposed study, the investigators will evaluate the impact of an enhanced system, InterFACE-AR, which provides role-specific decision support to the team leader and medication nurse through AR devices, while concurrently optimizing team situational awareness by displaying a roadmap for patient care on the LCD screen. Clinical data will be collected from the mobile app on a tablet used by the charting nurse. The trial aims to assess the individual and combined effectiveness of InterFACE-AR components (i.e. AR devices and LCD screen) on adherence to AHA resuscitation guidelines during simulated cardiac arrest by conducting a randomized controlled trial with a factorial design.

Conditions

• Cardiopulmonary Arrest
• Cardiac Arrest

Interventions

DEVICE

Augmented reality

Augmented Reality Devices - data collected from the Guiding-Pad app will be fed to two AR devices (i.e. team leader and medication nurse), which will provide role-specific decision support for these two providers.

DEVICE

LCD Screen

LCD Screen - data collected from the Guiding-Pad app will be fed to the LCD screen, which will be mounted on a wall, in clear view for the entire resuscitation team to see.

Sponsors & Collaborators

• Laval University

  collaborator OTHER

• University of Toronto

  collaborator OTHER

• University of Padova

  collaborator OTHER

• University of Alabama at Birmingham

  collaborator OTHER

• University of Southern California

  collaborator OTHER

• Columbia University

  collaborator OTHER

• University of Genova

  collaborator OTHER

• University of Calgary

  collaborator OTHER

• KidSIM Simulation Program

  lead NETWORK

Principal Investigators

• Adam Cheng, MD · University of Calgary

Study Design

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

NONE

Model

FACTORIAL

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2025-09-01

Primary Completion

2027-12-31

Completion

2028-06-30