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NCT07380685: Nurse-AI-CARE

On-Demand AI Support Via LINE-Based GPT Assistant to Improve Emotional Resilience and Reduce Burnout Among Clinical Nurses

Not yet recruiting NA Last updated 11 March 2026
What this trial tests

NA trial testing Interactive LINE GPT Emotional Support in Occupational Stress and Mental Health in Clinical Nurses in 120 participants. Not yet recruiting.

Timeline
1 May 2026
Primary endpoint
28 June 2026
25 September 2026

Quick facts

Lead sponsorTaipei Medical University Shuang Ho Hospital
PhaseNA
StatusNot yet recruiting
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingnone
Primary purposesupportive care
Enrollment120
Start date1 May 2026
Primary completion28 June 2026
Estimated completion25 September 2026

Drugs / interventions tested

Conditions studied

Sponsor

Taipei Medical University Shuang Ho Hospital

Who can join

Adults 20 to 65, any sex, with Occupational Stress and Mental Health in Clinical Nurses or Burnout. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Clinical nurses are frequently exposed to high emotional demands due to heavy workloads, time pressure, patient suffering, and the interpersonal complexity of clinical care. These stressors may contribute to compassion fatigue, burnout, reduced resilience, and decreased occupational well-being. However, timely and accessible psychological support is often limited in busy clinical environments, and many nurses may hesitate to seek help due to stigma, time constraints, or limited resources. This study is a prospective, randomized, controlled, parallel-group interventional trial designed to evaluate the feasibility and effectiveness of an on-demand, human-centered emotional support intervention delivered through a LINE-based GPT assistant. The AI assistant provides real-time supportive conversations, reflective prompts, stress-coping guidance, and resilience-enhancing strategies tailored specifically for clinical nurses, offering a private and easily accessible support resource. Eligible clinical nurses (target sample size: 100-120) are randomly assigned to either an Intervention Group, which interacts with the AI assistant, or a Control Group, which receives non-interactive static messages, over a four-week intervention period. Primary outcomes include changes in compassion fatigue, burnout, and compassion satisfaction, as measured by the Professional Quality of Life Scale (ProQOL). Secondary outcomes include changes in resilience (Brief Resilience Scale), general self-efficacy (General Self-Efficacy Scale), and perceived stress (Perceived Stress Scale-10). The results of this study are expected to provide evidence on the feasibility and potential effectiveness of AI-based emotional support as a scalable and accessible tool to promote psychological well-being among clinical nurses, thereby informing future digital mental health interventions in healthcare settings.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other Taipei Medical University Shuang Ho Hospital trials

Trials by the same sponsor.

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Data sources for this page

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