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Accepted for/Published in: JMIR Human Factors

Date Submitted: Jul 2, 2025
Open Peer Review Period: Jul 4, 2025 - Aug 29, 2025
Date Accepted: Jan 8, 2026
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Development of the ERATbi App, a Clinical Decision Support System for Early Recovery After Traumatic Brain Injury in the ICU: Usability Study

Yen HC, Wu IH, Hsiao WL, Lai SR, Yang CH, Liao HC, Han YY

Development of the ERATbi App, a Clinical Decision Support System for Early Recovery After Traumatic Brain Injury in the ICU: Usability Study

JMIR Hum Factors 2026;13:e79981

DOI: 10.2196/79981

PMID: 41650191

PMCID: 12880592

Development and Usability Study of the ERATbi App: A Clinical Decision Support System for Early Recovery After Traumatic Brain Injury in the ICU

  • Hsiao-Ching Yen; 
  • I-Hui Wu; 
  • Wei-Lin Hsiao; 
  • Shanq-Ru Lai; 
  • Chen-Hao Yang; 
  • Hsien-Chi Liao; 
  • Yin-Yi Han

ABSTRACT

Background:

Early rehabilitation in neurocritical care is frequently underutilized due to fragmented workflows, interdisciplinary coordination challenges, and a lack of structured digital decision support. Traditional clinical decision support systems (CDSS) often address single domains and do not accommodate the dynamic and multi-professional nature of ICU environments.

Objective:

This study aimed to design and evaluate the usability of the ERATbi App, a modular, tablet-based CDSS developed to support early rehabilitation planning for patients with moderate-to-severe traumatic brain injury (TBI) in intensive care settings.

Methods:

The ERATbi App integrates four functional modules—delirium risk management, precision nutrition, stepwise early mobilization, and respiratory care for rib fractures—into a unified interface. A simulation-based usability study was conducted with 18 ICU clinicians. Metrics included System Usability Scale (SUS) scores, task completion rates, error rates, and task durations. Additional feedback was gathered via a 5-point Likert satisfaction scale and open-ended responses.

Results:

The app demonstrated high usability (mean SUS = 83.6 ± 7.4), 100% task completion, and a low error rate (4.2%). Average module completion time was 6.5 minutes, and participants reported strong satisfaction (mean = 4.7 ± 0.5). Users highlighted the value of the app’s visual logic, real-time alerts, adaptive thresholds, and modular workflow integration for enhancing team coordination and decision consistency.

Conclusions:

The ERATbi App exhibited strong usability, high user satisfaction, and clinical relevance in simulated ICU workflows. Its logic-driven, workflow-embedded design may support scalable, interdisciplinary implementation of early rehabilitation in neurocritical care environments. Clinical Trial: Not applicable (this study does not meet the WHO definition of a clinical trial)


 Citation

Please cite as:

Yen HC, Wu IH, Hsiao WL, Lai SR, Yang CH, Liao HC, Han YY

Development of the ERATbi App, a Clinical Decision Support System for Early Recovery After Traumatic Brain Injury in the ICU: Usability Study

JMIR Hum Factors 2026;13:e79981

DOI: 10.2196/79981

PMID: 41650191

PMCID: 12880592

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