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Alleviating Nurse Burnout With an Artificial Intelligence-Selected Mobile Cognitive Behavioral Therapy-Based
Yeongeun Kim1,2, Chiyoung Cha2,3, Gumhee Baek2
1Dongnam Institute of Radiological and Medical Sciences, Busan, Republic of Korea.
JMIR Mhealth and Uhealth
|July 3, 2026
Summary
An AI-selected mobile Cognitive Behavioral Therapy (CBT) intervention significantly reduced nurse burnout across client-related, personal, and work-related domains compared to a control group. Nurses found the AI-selected CBT approach helpful for self-awareness and coping strategies.
Area of Science:
- Digital health interventions
- Artificial intelligence in healthcare
- Nursing mental health
Background:
- Nurse burnout is a global issue, often addressed with standardized digital Cognitive Behavioral Therapy (CBT).
- Personalized interventions are needed to address individual burnout profiles.
- Artificial intelligence (AI) enables tailored delivery of CBT modules.
Purpose of the Study:
- To evaluate the impact of an AI-selected mobile CBT intervention on nurse burnout.
- To compare the effectiveness of AI-selected CBT versus an information-only control group.
- To explore nurses' experiences and engagement with the AI-driven intervention.
Main Methods:
- Mixed methods design: randomized controlled trial and qualitative content analysis.
- 125 nurses randomized to AI-selected CBT or control group.
- AI algorithm matched CBT modules to individual burnout profiles, stress, and coping styles.
Main Results:
- The AI-selected CBT group showed greater reductions in client-related, personal, and work-related burnout.
- No significant differences were found in coping strategies, job stress, or stress response between groups.
- Qualitative data indicated participant receptiveness and increased self-awareness with the AI intervention.
Conclusions:
- AI-selected CBT interventions show promise for alleviating nurse burnout.
- Personalized digital interventions can enhance self-awareness and coping.
- Further research is needed on intervention sustainability and optimization.
