Effects of Artificial Intelligence Nurse Orientation Program on Psychological Outcomes and Length of Hospital Stay in Intensive Care Unit
- Sponsor
- Koç University
- Study ID
- NCT07171944
- Status
- Not Yet Recruiting
Notify me when recruiting opens
Save your spot on the interest list for this study. We'll keep your details with this study so our team can follow up when recruiting opens.
Add your contact details and location so we can keep your interest tied to this study.
Conditions
- Anxiety and Depression
- Artificial Intelligence (AI)
- Critical Care
- Delirium
- Intensive Care Units (ICUs)
- Nurse
- Orientation
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - N/A
- Healthy Volunteers
- Not accepted
Interventions
- Structured orientation program — BEHAVIORALArtificial intelligence technology will be incorporated into the orientation training program developed for patients in the intensive care unit who are assigned to the intervention group. The program will be administered twice daily over a three-day period. In this group, delirium-free days will be tracked, changes in anxiety and depression levels will be evaluated, and the length of intensive care unit stay among patients who remain free of delirium through this intervention will be examined.
- Human Nurse — BEHAVIORALResearchers will administer a structured orientation training program lasting approximately 10 minutes face-to-face to participants in the control group. This training program will be administered twice daily for 3 days. Following the training program, delirium-free days, anxiety and depression scores, and length of stay in the intensive care unit will be evaluated.
Study Details
Artificial intelligence (AI), now an integral part of healthcare services and presents numerous opportunities. Customized treatment plans, clinical decision support systems, predictive analysis for disease prevention, patient engagement and education, quality improvement, and error reduction are some of these opportunities. In the context of delirium prevention, risk assessment, and treatment planning, the AI-supported system AI-AntiDelirium is designed to standardize the approach to delirium management in alignment with the PADIS guidelines. A randomized controlled trial evaluating the effectiveness of this system found that the workload of nurses decreased, facilitated early diagnosis and prevention of delirium, and recommended evidence-based and individualized delirium interventions. A systematic review concluded that AI applications did not significantly impact the length of hospital stay and emphasized the need for further research. Also, AI platforms contributed to positive results in reducing anxiety and depression in patients. Furthermore, systematic reviews have demonstrated that AI-based chatbots are effective in alleviating symptoms of depression and anxiety. However, the literature includes a limited number of patient education programs specifically designed to prevent or manage delirium through AI-based approaches. Notably, there is a lack of studies comparing the effectiveness of AI-supported educational interventions with those delivered directly by nurses. The goal of this clinical trial is to develop a structured AINurse and Human Nurse orientation training program for intensive care unit (ICU) patients and compare the effects of these training programs on ICU patients' delirium-free days, level of anxiety and depression, and length of stay in the ICU. Hypotheses of the study: H1: Patients who receive the structured AINurse patient orientation training program will have longer delirium-free days than patients who receive Human Nurse orientation training. H2: Patients who receive the structured AINurse patient orientation training program will have lower levels of anxiety and depression than patients who receive the Human Nurse orientation training. H3: Patients who receive the structured AINurse patient orientation training program will have shorter lengths of stay in the intensive care unit than patients who receive the Human Nurse orientation training. Researchers will compare the AINurse patient orientation training program and the orientation training program provided by human nurses in terms of patients' delirium-free days, level of anxiety and depression, and length of stay in the ICU. * Those in the intervention group will receive the AINurse orientation training program twice daily for 3 days. * Participants in the control group will receive face-to-face structured orientation training from researchers twice daily for 3 days. * Delirium-free day assessment, anxiety and depression will be evaluated for patients in both groups over 3 days. * The length of stay in the intensive care unit will be monitored for patients in both groups.
Key Dates
- First listed
- Sep 15, 2025
- Start date
- Nov 1, 2025
- Status verified
- Sep 2025
- Primary completion
- Nov 1, 2026
- Completion
- Nov 1, 2026
Study Design
- Enrollment
- 10 participants (estimated)
- Allocation
- RANDOMIZED
- Intervention model
- PARALLEL
- Primary purpose
- PREVENTION
Arms
- Experimental: Artificial Intelligence Nurse (AINurse)The AI-Nurse orientation program to be implemented in the intervention group will be developed by a researcher who is part of the research team and has expertise in AI and engineering. During the development phase, the content of the program will be structured by researchers to be compatible with individual patient information. Voice-based orientation training will be provided using Google Cloud Text-to-Speech (TTS) API, which converts written text into natural-sounding speech. The training program will include approximately 10 minutes of audio narration and will be administered twice daily over a period of three days. The TTS engine allows for customization of voice parameters, including gender (female and male), speech tempo (slowed), and tone (calm). The AI Nurse system will be developed to work via mobile devices (e.g., an Android tablet). The patient will listen to the audio training through headphones and, if necessary, will be able to read the text on the screen.
- Active Comparator: Human NurseIn this arm, participants will receive a structured orientation training program designed by the researcher, consisting of 10-minute sessions over three days at similar times and frequencies. This structured orientation training will be delivered face-to-face by the Human-Nurse researcher. Patients in this group will also be monitored for signs and symptoms of delirium over three days. The content of this training program will be developed by the researchers and subsequently reviewed by experts.
Primary Outcome Measure
Delirium-free days [ Time Frame: Before randomization, patients will be screened for delirium before being selected for the study.Patients scoring between 0 and 2 points will be included in the study. Subsequently, patients will be monitored for 3 days, with delirium assessed twice day. ]
Central Contacts
- Pelin Karaçay, Associate Professor+90 05325475674
- Elif Aylin Basüt, RN,BSN+90 5346793555
Related Studies
- Interventions for Postoperative Delirium: Biomarker-3Recruiting · University of Wisconsin, Madison · Madison, Wisconsin
- Simultaneous Recumbent Cycling and Cognitive TrainingRecruiting · University of Missouri, Kansas City · Kansas City, Missouri
- Goal-Directed Sedation in Mechanically Ventilated Infants and ChildrenPHASE3 · Recruiting · Vanderbilt University Medical Center · Nashville, Tennessee
- Ceribell Delirium Data Collection StudyRecruiting · Ceribell Inc. · Pittsburgh, Pennsylvania