First Iteration of the Formative Usability Evaluation of a User Interface for an AI-Based Clinical Decision Support System Supporting Mechanical Ventilation in the ICU

Ian-C. Jung; Katharina Schuler; Martin Sedlmayr; Brita Sedlmayr; Maria Zerlik

doi:10.3205/25gmds191

April 1, 2026Open Access

First Iteration of the Formative Usability Evaluation of a User Interface for an AI-Based Clinical Decision Support System Supporting Mechanical Ventilation in the ICU

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Key Points

The research aims to evaluate the usability of a user interface for an AI-based clinical decision support system in the ICU.
Conducted formative usability evaluation
Utilized an AI-based clinical decision support system
Focused on user interface for optimizing ventilator settings
Identified areas for improvement in user interface design
Highlight the potential for reduced clinician workload
Provided insights on usability from medical staff feedback

Implication

Formative usability evaluation reveals insights to improve user interface for ICU decision support systems.

Abstract

Introduction: Clinical decision support systems (CDSS) can reduce the burden on medical staff in the intensive care unit (ICU). Projects like the IntelliLung initiative aim to develop AI-based CDSS that support the optimization of ventilator settings while reducing clinicians’ workload. User-friendly [for full text, please go to the a.m. URL]

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Cite This Study

Jung et al. (2026) studied this question.

synapsesocial.com/papers/69cf5de95a333a821460bef3 https://doi.org/10.3205/25gmds191

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First Iteration of the Formative Usability Evaluation of a User Interface for an AI-Based Clinical Decision Support System Supporting Mechanical Ventilation in the ICU

Key Points

Implication

Abstract

Discussion

Cite This Study

First Iteration of the Formative Usability Evaluation of a User Interface for an AI-Based Clinical Decision Support System Supporting Mechanical Ventilation in the ICU

Key Points

Implication

Abstract

Discussion

Cite This Study

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