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

No phase Interventional Delirium in the Intensive Care Unit Sleep Quality

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: MLP-based Clinical Decision Support System (MLP-CDSS), VR-based Cognitive Intervention, VR-assisted Early Mobility Exercise.
Who it may be relevant to
Registry conditions: Delirium in the Intensive Care Unit, Sleep Quality. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Taiwan
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Efficacy of an Intelligent Computational Nursing Decision Support System in Precision Critical Care for Delirium Prevention: A Randomized Controlled Trial

Overview

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.

Detailed description

Delirium affects up to 83% of ventilated ICU patients, necessitating precise non-pharmacological interventions like the SCAN-D program, which aims to improve outcomes by integrating smart computing and virtual reality into nursing decisions. This three-year, assessor-blinded, parallel randomized controlled trial will enroll 188 patients, assigning them to either usual care or the SCAN-D group, where the latter receives personalized strategies based on machine learning risk weights, including family-supervised immersive VR exercise and cognitive training. Throughout their stay, patients will be monitored via shift-based assessments (ICDSC/RASS) and nightly sleep tracking using actigraphy combined with one-lead EEG, while long-term cognitive function and quality of life (EQ-5D-3L) will be evaluated at three and six months post-discharge. The primary outcomes are the incidence of delirium and delirium-free days within the first 28 days of ICU admission, measured using the ICU Delirium Screening Checklist. Secondary outcomes include sleep quality and quantity, functional status during the ICU stay, ICU length of stay, duration of mechanical ventilation, total hospital length of stay, ICU mortality rate, Sedative and Analgesic Loading, 90-day Mortality Post-discharge, cognitive function, and quality of life. Finally, the collected data will be analyzed using SPSS 22.0 through independent t-tests, Chi-square tests, and Generalized Estimating Equations (GEE) to determine the program's efficacy in reducing delirium incidence and enhancing overall patient recovery.

Interventions

  • Device 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.
  • Behavioral 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.
  • Behavioral 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.

Primary outcome measures

  • Incidence of ICU delirium [Time frame: From ICU admission to ICU discharge or maximum 28 days, assessed per shift]
  • Delirium-Free Days [Time frame: Through Day 28 after ICU admission.]
Secondary outcome measures (11)
  • Subjective Sleep Quality [Time frame: Daily from enrollment until ICU discharge or up to a maximum of 28 days.]
  • Objective Sleep Quality [Time frame: Continuous monitoring every night from enrollment until ICU discharge or up to a maximum of 28 days.]
  • ICU Mortality [Time frame: From ICU admission to ICU discharge (estimated up to 28 days)]
  • 90-day All-cause Mortality [Time frame: 90 days after hospital discharge.]
  • Cumulative Dose of Sedatives and Analgesics [Time frame: Daily during the ICU stay, up to 28 days.]
  • Hospital Length of Stay (LOS) [Time frame: From study enrollment to hospital discharge (expected up to 3 month).]
  • ICU-related Adverse Events [Time frame: Throughout the ICU stay, up to 28 days]
  • ICU Length of Stay (ICU LOS) [Time frame: From ICU admission to ICU discharge (estimated up to 28 days).]
  • Health-Related Quality of Life [Time frame: At 3 months and 6 months after hospital discharge.]
  • Duration of Mechanical Ventilation [Time frame: Throughout the ICU stay, from enrollment up to a maximum of 28 days.]
  • Long-term Cognitive Function [Time frame: At 3 months and 6 months after hospital discharge.]

Eligibility criteria

Inclusion criteria

  • Patients aged 18 years
  • High risk of developing delirium are defined as PRE-DELIRIC (PREdiction of DELIRium in ICu patients) with a score of ≥40%
  • Sedation assessment form (Richmond Agitation-Sedation). Scale, RASS) is assessed as between +1 and -1
  • Patient is clearly aware and able to communicate with Chinese and Taiwanese customers.

Exclusion criteria

  • Those who have developed delirium before joining the study (assessed by the Intensive Care Delirium Screening Checklist (ICDSC) >4 points)
  • Expected to stay in the ICU for less than 24 hours
  • APACHE II score > 25 (meaning > 50% mortality)
  • Delirium cannot be evaluated, such as those with severe acute brain injury, audio-visual impairment, speech problems, psychotic disorders, aphasia, or in the entire ICU During this period, patient remained comatose.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
Randomized
Model
Parallel assignment
Masking
Single blind
Primary purpose
Prevention

Study locations

Taiwan · 1 center
  • Taipei Medical University, Taipei, 110 — Taipei

Identifiers

NCT: NCT07631494 · N202502041

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗