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[Application of an improved model of a job-matching platform for nurses]
Way-Ren Huang1, Chiou-Fen Lin2
1Department of Medical Informatics, Tzu Chi University, Taiwan, ROC.
Background:
The three-month attrition rate for new nurses in Taiwan remains high. Many hospitals rely on traditional recruitment methods to find new nurses, yet it appears that their efficacy is less than ideal. To effectively solve this manpower shortage, a nursing resource platform is a project worth developing in the future.
Purpose:
This study aimed to utilize a quality-improvement model to establish communication between hospitals and nursing students and create a customized employee-employer information-matching platform to help nursing students enter the workforce.
Methods:
This study was structured around a quality-improvement model and used current situation analysis, literature review, focus-group discussions, and process re-engineering to formulate necessary content for a job-matching platform for nursing. The concept of an academia-industry strategic alliance helped connect supply and demand within the same supply chain.
Results:
The nurse job-matching platform created in this study provided job flexibility as well as job suitability assessments and continued follow-up and services for nurses after entering the workforce to provide more accurate matching of employers and employees.
Conclusions:
The academia-industry strategic alliance, job suitability, and long-term follow-up designed in this study are all new features in Taiwan's human resource service systems. The proposed human resource process re-engineering provides nursing students facing graduation with a professionally managed human resources platform. Allowing students to find an appropriate job prior to graduation will improve willingness to work and employee retention.
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