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

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.

NCT Number	NCT07511712
Lead Sponsor	Second Affiliated Hospital, School of Medicine, Zhejiang University
Conditions	Mechanical Ventilation, Clinical Competence, Education Curriculum, Self Concept
Enrollment	34 participants
Start Date	2026-04-15
Primary Completion	2026-07-31 (estimated)
Study Completion	2026-07-31 (estimated)
Updated on ClinicalTrials.gov	2026-04-13