Outline

Ingegneria Sismica

Ingegneria Sismica

Comprehensive Optimization Design of Hospital Health Human Resources Recruitment and Training System Based on Competency Modeling

Author(s): Jiaying Li1
1Human Resources Department, Panyu Fifth People’s Hospital, Guangzhou, Guangdong, 511495, China
Li, Jiaying . “Comprehensive Optimization Design of Hospital Health Human Resources Recruitment and Training System Based on Competency Modeling.” Ingegneria Sismica Volume 43 Issue 1: 1-24, doi:10.65102/is2026122.

Abstract

Human resource management is an important part of hospitals and plays an important role in hospital human resource management, and competency will directly affect the quality of hospital human resource recruitment and training system. On the basis of competency iceberg model and competency onion model, 31 competency factors are screened to meet the hospital health human resources recruitment and training system, and the feasibility of competency factors is verified with the help of statistical analysis of questionnaires. Subsequently, the weights of the 31 competency factors were determined by solving the judgment matrix in the form of hierarchical analysis, and the construction of the competency model for the recruitment and training system of the hospital was also completed, and the model was used to carry out an empirical analysis of the current health human resources recruitment and training system of the hospital. Within one year after the model was implemented, the job satisfaction of hospitals that recruited new employees was significantly improved. The proportion of “very dissatisfied” decreased from 9% to 1%, “dissatisfied” from 34% to 7%, “average” from 28% to 30%, “relatively satisfied” from 22% to 36%, and “satisfied” from 7% to 26%. Based on the analysis results, verify the optimization role of the model in the recruitment and training system of hospital health human resources.

Keywords
hierarchical analysis; judgment matrix; competency model; human resource recruitment; training system

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