Precision ICU Care: Evaluating an AI-Driven Nursing Decision Support System for Delirium Prevention
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorTaipei Medical University
About this trial
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 criteria
Qualifiers
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.
Disqualifiers
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.
Trial design
Treatments tested in this trial
- MLP-based Clinical Decision Support System (MLP-CDSS)
- VR-based Cognitive Intervention
- VR-assisted Early Mobility Exercise
Treatment groups
188 Participants
are divided into 2 treatment groupsSponsors and collaborators
Source ClinicalTrials.gov