Article Details

Abstract

To accurately characterize the current labor market demand for nursing talent, this research leverages Big Data from online recruitment platforms. Using Web crawler technology, it collects 996 nursing job postings from across China, and after data cleaning, retains 965 valid records. Through statistical analysis, text mining, and visualization methods, a multidimensional nursing job profile is constructed, covering regional distribution, educational and salary requirements, job responsibilities, and qualifications. The findings reveal significant regional disparities in nursing job demand in China, with eastern regions exhibiting higher educational thresholds and salary levels than central and western areas. Text mining results indicate that the role of nurses has evolved from traditional technical operators into composite professionals integrating professional skills, humanistic and communicative competencies, and managerial collaboration. Their qualification standards have formed a multi-level framework based on a “qualification-competence-skill” trinity. This research provides data support and decision-making references for nursing education reform, precise recruitment in medical institutions, and the optimization of human resource allocation.

Keywords

online recruitment; Big Data; text mining; job profile

References

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Funding

Guiding Science and Technology Research Project of Quzhou Science and Technology Bureau (2025ZD059)

About the authors

Liao Weihui (1989-), female, Han ethnicity, from Quzhou, Zhejiang, is a chief nurse with a bachelor's degree. Her research interests include personnel management in public hospitals; Zheng Lihui (1988-), male, Han ethnicity, from Quzhou, Zhejiang, associate professor, master's student, research direction: application of artificial intelligence technology.