Pediatric Nursing Risk Management Methods Based on Big Data Analysis

Zhongmei Chen; Xinru Chen; Guanlin Zheng; Yanyan Ren

Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Pediatric Nursing Risk Management Methods Based on Big Data Analysis

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@INPROCEEDINGS{10.4108/eai.15-12-2023.2345303,
    author={Zhongmei  Chen and Xinru  Chen and Guanlin  Zheng and Yanyan  Ren},
    title={Pediatric Nursing Risk Management Methods Based on Big Data Analysis},
    proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
    publisher={EAI},
    proceedings_a={PMBDA},
    year={2024},
    month={5},
    keywords={big data pediatric care risk management lof testing},
    doi={10.4108/eai.15-12-2023.2345303}
}

Zhongmei Chen
Xinru Chen
Guanlin Zheng
Yanyan Ren
Year: 2024
Pediatric Nursing Risk Management Methods Based on Big Data Analysis
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345303

Zhongmei Chen¹, Xinru Chen²^,*, Guanlin Zheng¹, Yanyan Ren¹

1: Taishan Vocational College of Nursing
2: Philippine Women’s University

*Contact email: tawxmei@163.com

Abstract

In recent years, the competitive pressure in China’s medical industry has become increasingly intense. Nursing quality is directly related to the overall image and safety of the medical industry, while nursing quality is related to the allocation of nursing personnel. The characteristics of pediatric nursing work determine the need for more nursing human resources than adult departments. This article summarizes big data analysis, analyzes data preprocessing and pediatric nursing processes, discusses the composition of data warehouses, and analyzes the current situation of pediatric nursing human resource allocation in Hospital A. The most common reason for interdepartmental rotation accounts for 62%.

Keywords: big data pediatric care risk management lof testing

Published: 2024-05-13
Publisher: EAI

: http://dx.doi.org/10.4108/eai.15-12-2023.2345303