Clinical Trial

Precision ICU Care: Evaluating an AI-Driven Nursing Decision Support System for Delirium Prevention

Not Yet Recruiting
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Summary
Delirium affects up to 83% of mechanically ventilated patients in the Intensive Care Unit (ICU), often leading to longer hospital stays and long-term memory or cognitive problems. While standard care protocols (such as the ABCDEF bundle) exist, they are often difficult to implement fully due to their complexity and the heavy workload on nursing staff. To address these challenges, this study introduces a 'Precision Nursing' approach by integrating Artificial Intelligence (AI) and Virtual Reality (VR). We will implement an AI-driven system to assist nurses in making personalized care decisions more efficiently. Additionally, interactive VR technology will be used to stimulate patients' cognitive function and encourage early mobility. Our goal is to reduce the clinical burden on healthcare providers while significantly improving recovery outcomes for ICU patients.
Trial Details
NCT Number NCT07631494
Lead Sponsor Taipei Medical University
Conditions Delirium in the Intensive Care Unit, Sleep Quality
Enrollment 188 participants
Start Date 2026-06
Primary Completion 2028-01 (estimated)
Study Completion 2028-06 (estimated)
Updated on ClinicalTrials.gov 2026-06-08