Accessibility settings

This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (4234) Human Factors and Usability Case Studies (1076) Design and Formative Evaluation of Mobile Apps (836) Anxiety and Stress Disorders (1380) Nursing in a Hospital Setting (142) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (693) Physician and Healthcare Worker Burnout (159)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54029, first published .
Development of an Artificial Intelligence–Based Tailored Mobile Intervention for Nurse Burnout: Single-Arm Trial

Development of an Artificial Intelligence–Based Tailored Mobile Intervention for Nurse Burnout: Single-Arm Trial

Development of an Artificial Intelligence–Based Tailored Mobile Intervention for Nurse Burnout: Single-Arm Trial

Authors of this article:

Aram Cho1 Author Orcid Image ;   Chiyoung Cha1 Author Orcid Image ;   Gumhee Baek1 Author Orcid Image
Article Authors Cited by (17) Tweetations (4) Metrics

Journals

  1. Dailah H, Koriri M, Sabei A, Kriry T, Zakri M. Artificial Intelligence in Nursing: Technological Benefits to Nurse’s Mental Health and Patient Care Quality. Healthcare 2024;12(24):2555 View
  2. Baek G, Cha C. AI‐Assisted Tailored Intervention for Nurse Burnout: A Three‐Group Randomized Controlled Trial. Worldviews on Evidence-Based Nursing 2025;22(1) View
  3. Ellertson M, Sharp R. Challenges in Pursuing AI Transparency. The American Journal of Bioethics 2025;25(3):4 View
  4. Hassanein S, El Arab R, Abdrbo A, Abu-Mahfouz M, Gaballah M, Seweid M, Almari M, Alzghoul H. Artificial intelligence in nursing: an integrative review of clinical and operational impacts. Frontiers in Digital Health 2025;7 View
  5. Han K. Future Perspectives of Artificial Intelligence in Mental Health Care: Challenges and Opportunities. Journal of Korean Academy of psychiatric and Mental Health Nursing 2025;34(1):1 View
  6. King S, Horner J, Szeles R, Hall G, Taveres S, Truumees T. Awareness in Action: Cultivating Adaptive Behaviors Using Technology and Human‐Centered Interventions to Tackle Nurse Manager Burnout. Worldviews on Evidence-Based Nursing 2025;22(3) View
  7. El Arab R, Al Moosa O, Sagbakken M, Ghannam A, Abuadas F, Somerville J, Al Mutair A. Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions. Frontiers in Public Health 2025;13 View
  8. Wang X, Liu W, Huang F. Navigating Society 5.0: Integrating Strength‐Based Leadership and Job Crafting for Improved Nursing Outcomes. Journal of Nursing Management 2025;2025(1) View
  9. Kiwanuka F, Stevanin S, Ahtisham Y, Owusu B, Nurmeksela A, Kvist T. Nurse Leadership and Artificial Intelligence Integration in Nursing Workforce Management: A Scoping Review. Journal of Advanced Nursing 2025 View
  10. Shalom T, Ogni L, Freud T, Bashkin O. Burnout, anxiety, and resilience among nurses during wartime: evidence from a cross-sectional study. BMC Nursing 2025;24(1) View
  11. Alshowkan A, Shdaifat E. Impact of AI Literacy on Well-Being Among Nursing Students—Mediating Roles of Empowerment and Anxiety: Cross-Sectional Study. JMIR Nursing 2025;8:e79789 View
  12. Choudhary P, Poonia M. Unveiling the Capacity of Artificial Intelligence in Mitigating Nurse Burnout. JONA: The Journal of Nursing Administration 2026;56(1):48 View
  13. Sivakami S, Sasikala T. Prediction of professional burnout syndrome among it professionals during the COVID-19 era using evolutionary artificial neural network. Quality & Quantity 2026 View
  14. Leightley D, Williamson C, Korbacz A, Curcin V, Marshall I, Greenberg N. Effectiveness of AI-based interventions in workplace mental health: a systematic review and narrative synthesis. British Medical Bulletin 2026;157(1) View
  15. Riju Philip . Artificial Intelligence in the Nursing Profession: Applications, Challenges, and Future Directions. International Journal of Medical Pharmaceutical and Health Sciences 2026;3(1):473 View
  16. Svetlanova S, Iskakova B, Makhanbetkulova D, Blazeviciene A, Nazarova L, Aitambayeva N, Narymbayeva N, Sydykova B, Abdirova T, Qumar A. Assessing nurses’ attitudes toward artificial intelligence in Kazakhstan: psychometric validation of a nine-item scale. Frontiers in Digital Health 2026;8 View

Conference Proceedings

  1. Lee S, Tan E. 2025 14th International Conference on Information Technology in Asia (CITA). The Role of AI-Driven Support Systems in Reducing Nurse Turnover: A Systematic Review of Effectiveness and Perceptions View