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

Condition(s) studied

Investigational drug(s) / intervention(s)

MLP-based Clinical Decision Support System (MLP-CDSS): An AI-integrated system utilizing a Multilayer Perceptron (MLP) model to predict delirium risk and guide targeted interventions. The system continuously analyzes real-time data from Electronic Health Records (EHR), including physiological parameters, medication history, and laboratory results.

VR-based Cognitive Intervention: A virtual reality intervention designed to provide cognitive stimulation and reduce sensory deprivation. Patients engage in interactive games (e.g., traditional-themed tasks such as goldfish scooping or lantern festivals) that require attention, memory, and spatial orientation. These sessions are conducted twice daily for total 30-40 minutes, 3-4 times a week.

VR-assisted Early Mobility Exercise: A VR-based physical activity program focused on promoting upper limb movement and range of motion. The virtual environment encourages patients to perform specific gestures or reaching tasks while in bed or a seated position, aiming to improve mobility and reduce the physical deconditioning common in ICU stays. These sessions are conducted twice daily for total 30-40 minutes, 3-4 times a week.

Study 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.

Eligibility

Primary outcome measure(s)

• Incidence of ICU delirium — From ICU admission to ICU discharge or maximum 28 days, assessed per shift
  The proportion of participants who develop delirium during their ICU stay. Delirium is assessed using the Intensive Care Delirium Screening Checklist (ICDSC). The checklist evaluates 8 clinical signs, with each item scored 0 or 1. A total score of 4 or higher is defined as a "positive" delirium diagnosis.
• Delirium-Free Days — Through Day 28 after ICU admission.
  The number of days alive and free of delirium during ICU stay. Delirium status is assessed daily using the Intensive Care Delirium Screening Checklist (ICDSC). A "delirium-free day" is defined as a calendar day on which the patient is alive and has an ICDSC score of less than 4

Trial sites (1)

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