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Not yet recruitingNCT07631494Updated Jun 8, 2026

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

An interventional study of MLP-based Clinical Decision Support System (MLP-CDSS) and VR-based Cognitive Intervention in Delirium in the Intensive Care Unit and Sleep Quality, sponsored by Taipei Medical University. Not yet recruiting at 1 site in Taiwan. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-06-08.

Sponsored by Taipei Medical University · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
188
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

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.

Read the 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.

02

Conditions studied

  • Delirium in the Intensive Care Unit
  • Sleep Quality

Keywords

  • Artificial Intelligence
  • delirium
  • intensive care unit
  • Virtual Reality
  • sleep
  • machine learning
03

In context

Sleep Initiation and Maintenance Disorders

2,722 studies on the registry are indexed under Sleep Initiation and Maintenance Disorders; 726 are open to participants now.

This study's planned enrollment of 188 is above the median of 68 across 2,350 interventional studies indexed under Sleep Initiation and Maintenance Disorders.

Browse Sleep Initiation and Maintenance Disorders studies →

Lead sponsor

Taipei Medical University is the lead sponsor of 257 studies on the registry; 59 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

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.
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
188 participants (estimated)

Study arms

  • Experimental
    Smart Computing Assisted Nursing Decision in Delirium Prevention(SCAN-D) group

    The algorithm will calculate variable weights and select features contributing to 80% of the risk. These variables will guide the implementation of personalized delirium prevention strategies, with making decision based on nurses' clinical expertise.

    Device: MLP-based Clinical Decision Support System (MLP-CDSS) · Behavioral: VR-based Cognitive Intervention · Behavioral: VR-assisted Early Mobility Exercise

  • No intervention
    routine care control group

    The control group will receive routine care, including delirium assessments and sleep environment management.

Interventions

  • DeviceMLP-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.

  • BehavioralVR-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.

  • BehavioralVR-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.

06

What researchers measure

Primary outcomes

  1. Incidence of ICU delirium

    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.

    Time frame: From ICU admission to ICU discharge or maximum 28 days, assessed per shift

  2. Delirium-Free Days

    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

    Time frame: Through Day 28 after ICU admission.

Secondary outcomes

  1. Subjective Sleep Quality

    Daily sleep quality as perceived by the participant, measured using the Richards-Campbell Sleep Questionnaire (RCSQ). The RCSQ is a 5-item visual analog scale that assesses: * Sleep depth * Sleep latency (falling asleep) * Number of awakenings * Time to return to sleep * Overall sleep quality. Each item is scored from 0 to 100 mm. The total score is the average of the five items. The total score ranges from 0 to 100, where higher scores indicate better sleep quality.

    Time frame: Daily from enrollment until ICU discharge or up to a maximum of 28 days.

  2. Objective Sleep Quality

    Description: Objective sleep status will be evaluated by SOMNOwatch™, which can extract not only sleep related parameters but also calculate sleep stages using additional electroencephalography (EEG) sensors.

    Time frame: Continuous monitoring every night from enrollment until ICU discharge or up to a maximum of 28 days.

  3. ICU Mortality

    The number of participants who died during their stay in the Intensive Care Unit.

    Time frame: From ICU admission to ICU discharge (estimated up to 28 days)

  4. 90-day All-cause Mortality

    The number of participants who died from any cause within 90 days following discharge from the hospital.

    Time frame: 90 days after hospital discharge.

  5. Cumulative Dose of Sedatives and Analgesics

    The total cumulative dose of sedatives (e.g., Propofol, Midazolam) and analgesics (e.g., Fentanyl, Morphine) administered during the ICU stay. To allow comparison, doses will be converted to equivalents (e.g., Midazolam equivalents for sedatives and Morphine equivalents for analgesics).

    Time frame: Daily during the ICU stay, up to 28 days.

  6. Hospital Length of Stay (LOS)

    The total number of days from study enrollment to hospital discharge or death.

    Time frame: From study enrollment to hospital discharge (expected up to 3 month).

  7. ICU-related Adverse Events

    The frequency and type of adverse events occurring in the ICU, including but not limited to: unplanned extubation, falls, pressure ulcers, and ventilator-associated pneumonia (VAP).

    Time frame: Throughout the ICU stay, up to 28 days

  8. ICU Length of Stay (ICU LOS)

    The total number of days the participant remains in the Intensive Care Unit, calculated from the date of ICU admission to the date of ICU discharge or death.

    Time frame: From ICU admission to ICU discharge (estimated up to 28 days).

  9. Health-Related Quality of Life

    The Euro Qol Five-Dimensional Five-Level Scale (EQ-5D-5L) is used to evaluate health-related QoL. The health status classification comprises five dimensions, each with five levels, calculated using specific values. The vertical analog scale assesses the patient's overall evaluation of their current health status, ranging from 0 to 100. Higher scores indicate greater QoL.

    Time frame: At 3 months and 6 months after hospital discharge.

  10. Duration of Mechanical Ventilation

    The total number of days during which the participant requires mechanical ventilation support while in the Intensive Care Unit. This includes both invasive (via endotracheal tube or tracheostomy) and non-invasive ventilation (NIV). The duration is calculated from the initiation of mechanical ventilation to successful weaning and extubation.

    Time frame: Throughout the ICU stay, from enrollment up to a maximum of 28 days.

  11. Long-term Cognitive Function

    Cognitive performance assessed via the Telephone Interview for Cognitive Status (TICS). The TICS is an 11-item screening instrument specifically designed for telephone administration to patients who cannot be assessed in person. The total score ranges from 0 to 41, where higher scores indicate better cognitive performance.

    Time frame: At 3 months and 6 months after hospital discharge.

07

Study locations

1 site
08

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Jun 2026; primary completion for Jan 2028, 19 months later.

Of 1,207 non-industry interventional studies with no phase under Sleep Initiation and Maintenance Disorders, half reached primary completion within 15 months of starting (the median), counting those still running; a quarter within 6 and three quarters within 35. This study's planned 19 months is above that.

Counting every sponsor, half of 1,285 studies reached it within 15 months; a quarter within 6 and three quarters within 34.

How these figures are worked out, and which studies are left out of them.

Registered
May 6, 2026
First posted
Jun 8, 2026
StartEst.
Jun 2026
Primary completionEst.
Jan 2028
CompletionEst.
Jun 2028
Last update
Jun 8, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jun 8, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT07631494
Responsible party
Hsiao-Yean Chiu (Principal Investigator, Taipei Medical University) — Principal investigator
First posted
Jun 8, 2026
Start date
Jun 2026 (estimated)
Primary completion
Jan 2028 (estimated)
Completion
Jun 2028 (estimated)
Last update
Jun 8, 2026

Study contacts

Hsiao-Yean Chiu, Professor
Contact
hychiu0315@tmu.edu.tw
886-2-27361661 ext. 6329

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is not yet recruiting, as verified in Jun 2026. You cannot join it, but the record below documents what was studied.

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