PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Research on the Identification of High-Potential Nursing Talents for Intelligent elderly Care Based on Multi-Benchmarking Selection and Competitive Analysis
Version 1
: Received: 13 May 2024 / Approved: 14 May 2024 / Online: 14 May 2024 (06:50:23 CEST)
How to cite:
Xie, Z.; Wang, G. Research on the Identification of High-Potential Nursing Talents for Intelligent elderly Care Based on Multi-Benchmarking Selection and Competitive Analysis. Preprints2024, 2024050912. https://doi.org/10.20944/preprints202405.0912.v1
Xie, Z.; Wang, G. Research on the Identification of High-Potential Nursing Talents for Intelligent elderly Care Based on Multi-Benchmarking Selection and Competitive Analysis. Preprints 2024, 2024050912. https://doi.org/10.20944/preprints202405.0912.v1
Xie, Z.; Wang, G. Research on the Identification of High-Potential Nursing Talents for Intelligent elderly Care Based on Multi-Benchmarking Selection and Competitive Analysis. Preprints2024, 2024050912. https://doi.org/10.20944/preprints202405.0912.v1
APA Style
Xie, Z., & Wang, G. (2024). Research on the Identification of High-Potential Nursing Talents for Intelligent elderly Care Based on Multi-Benchmarking Selection and Competitive Analysis. Preprints. https://doi.org/10.20944/preprints202405.0912.v1
Chicago/Turabian Style
Xie, Z. and Gaoling Wang. 2024 "Research on the Identification of High-Potential Nursing Talents for Intelligent elderly Care Based on Multi-Benchmarking Selection and Competitive Analysis" Preprints. https://doi.org/10.20944/preprints202405.0912.v1
Abstract
The intelligent elderly care model places new demands on the skills of aging caregivers. The identification and development of forward-thinking, high-potential nursing talent is essential for advancing the intelligent elderly care sector. Multi-benchmarking selection and competitive analysis is used to evaluate and identify nursing personnel in the rehabilitation treatment center of a hospital in Hefei City. Using proxy evaluation and democratic evaluation model, three types of benchmarks such as single item benchmark, individual benchmark and group benchmark were identified and selected, and the professional nursing team was constructed based on the evaluation results. Different from the traditional other-directed evaluation, multi-benchmarking selection and competitive analysis is self-directed evaluation, this method is more conducive to the identification of high-potential and digital nursing talents by intelligent elderly service organizations, and facilitates the formation of professional nursing teams with complementary strengths and cross-fertilization, so as to satisfy the diversified and multi-level needs of the elderly for intelligent elderly services.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
