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Professional Nursing Practice in Asian and Pacific Islander Health (10) Health Services in Resource-Poor Settings and LMICs (597) Health Services Research and Health Care Utilization in Older Patients (167) E-Health / Health Services Research and New Models of Care (832)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59484, first published .
Asian female doctor with stethoscope and face mask

Demand Forecasting of Nurse Talents in China Based on the Gray GM (1,1) Model: Model Development Study

Demand Forecasting of Nurse Talents in China Based on the Gray GM (1,1) Model: Model Development Study

Authors of this article:

XiuLi Wu1 Author Orcid Image ;   Aimei Kang2 Author Orcid Image
Article Authors Cited by (13) Tweetations Metrics

Journals

  1. Kang A, Wu X. Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model. JMIR Nursing 2024;7:e59442 View
  2. Sun Q, Ren D, Tong J, Ao L, Wang S. Integrating comprehensive geriatric assessment into routine nursing care for older adults with type 2 diabetes: implementation fidelity and clinical outcomes. Frontiers in Public Health 2025;13 View
  3. Lei Y, Yang L, Liu J, De Ala M, Aliswag E, Zhang R, Tan J, Wang L, Salvador J. Research Capability and Influencing Factors Among Clinical Nurses: A Multicentre Cross‐Sectional Study. Journal of Clinical Nursing 2026;35(3):1361 View
  4. Pang F, Li Y, Miao G, Shi Y. Optimizing education resource allocation using grey model forecasting of school age populations. Scientific Reports 2025;15(1) View
  5. Chen J, Zhang G, Tiwari A, Chan S. Development, implementation, and evaluation of a train-the-trainer program for emerging nurse leaders in China: a 12-year longitudinal study. BMC Medical Education 2025;26(1) View
  6. Zhao Y, Yin H, Zhang W, Yan J, An J, Zhang Z, Wu Y, Hu W, Lai H, Wang F, Feng K. Evaluation of water resources carrying capacity in Ordos city based on the Game Theory-Topsis-Grey Prediction coupling model. Scientific Reports 2026;16(1) View
  7. Ge X, Wang H, Xu Y, Zhang Y. Knowledge and attitudes regarding AI-assisted documentation among clinical nurses in China: a cross-sectional study. BMC Nursing 2026;25(1) View
  8. Singh K, Souza L, Nazarene A, Mounia A, Khedr M, Mousa A, George R, Nahwan A. Utilizing and Optimizing Forecasting Models for Nursing Demand: A Narrative Review. Health Science Reports 2026;9(4) View
  9. Li S. A BOPPPS-structured narrative medicine intervention to enhance empathy and reduce ageism among undergraduate nursing students. BMC Medical Education 2026;26(1) View
  10. Mou Y, Wang Z, Li G, Li X, Yu T, Wang B, Wu Y, Yang B, Zhao H. Knowledge and attitudes among high school students toward medical misinformation and their willingness to pursue medical-related majors. Medicine 2026;105(17):e48499 View
  11. Huang J, Chen N, Huang Z, Yang L. Weighted grey-Markov demand forecasting model with spatial effects. Grey Systems: Theory and Application 2026:1 View
  12. Tang Y, Zhu C, Xu L, Wang L, Hu Y, Zhu L, Gu Y, Xu H, Fontenot J. Nursing Interns’ Disgust Sensitivity, Ageism and Gerontological Nursing Career Motivation: A Network Analysis. Journal of Nursing Management 2026;2026(1) View
  13. Wang W, Yang R, Liu X, Shi X, Shen Z, Li S, Zhu Z, Zhu M, Ji S, Shi X, Hou Y, Fontenot J. Actual Scope of Nursing Practice and the Influencing Factors: A Single‐Center Cross‐Sectional Study in China. Journal of Nursing Management 2026;2026(1) View