Using Real-Time Lung Visuals to Reduce Mental Strain and Improve Diagnosis Speed

簡要摘要

The goal of this clinical simulation study is to learn if a "Digital Twin" graphical lung display reduce the mental workload of clinicians. The study also evaluates if this helps physicians diagnose and manage ventilator-related crises more effectively than standard ventilator screens. The main questions it aims to answer are: Does the Digital Twin display lower the cognitive stress (mental workload) experienced by clinicians during a crisis? Does the Digital Twin display reduce the time it takes for clinicians to identify specific respiratory complications? Does the use of real-time physiological visualization improve the accuracy of clinical decision-making? Researchers will compare the performance of clinicians using a standard ventilator display (the "Black Box" condition) to their performance when provided with an additional synchronized 3D lung and advanced waveform display (the "Digital Twin" condition). Participants will: Complete four randomized mechanical ventilation crisis scenarios using a high-fidelity lung simulator (ASL 5000). Manage scenarios involving high airway resistance, low lung compliance, auto-PEEP, and patient-ventilator asynchrony. Undergo a 14-day "washout" period between sessions to ensure no memory bias between the control and intervention groups. Complete a NASA-TLX survey after each scenario to measure their perceived mental, physical, and temporal demand.