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The application of specialised management assistants in demand forecasting of human resources

OBJECTIVE: Based on a theoretical analysis and through working practice, this paper presents the experience of the scientific use of the manpower demand prediction method and practical process of specialised business assistants in clinical departments. METHODS: A spot observation, interview and publ...

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Autores principales: Wang, Shuai, Wang, Lingfeng, Liu, Dai, Xin, Yan, Sun, Guixia, Wang, Yanyan, Wang, Jingyu, Ping, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720558/
https://www.ncbi.nlm.nih.gov/pubmed/36478801
http://dx.doi.org/10.1016/j.heliyon.2022.e11965
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author Wang, Shuai
Wang, Lingfeng
Liu, Dai
Xin, Yan
Sun, Guixia
Wang, Yanyan
Wang, Jingyu
Ping, Li
author_facet Wang, Shuai
Wang, Lingfeng
Liu, Dai
Xin, Yan
Sun, Guixia
Wang, Yanyan
Wang, Jingyu
Ping, Li
author_sort Wang, Shuai
collection PubMed
description OBJECTIVE: Based on a theoretical analysis and through working practice, this paper presents the experience of the scientific use of the manpower demand prediction method and practical process of specialised business assistants in clinical departments. METHODS: A spot observation, interview and public information inquiry were conducted, and SPSS20.0 Chinese software was used to make a statistical prediction of the business growth (P & LT; 0.05). RESULTS: The specialist management assistant prepared the manpower needs assessment report for the department, and the hospital organization personnel department adopted the recommendation in the manpower needs assessment report and put it into the hospital's recruitment plan for the following year. CONCLUSION: The blood purification centre of specialised business assistants in patients in the medical market, service people, workload and equipment operation efficiency analysis data analysis. It was found that an effective prediction model that supports decisions regarding the hospital's scientific allocation of human resources is advantageous to the hospital's human resource optimisation, improves both operation equipment efficiency and patient satisfaction and is worthy of application and popularisation.
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spelling pubmed-97205582022-12-06 The application of specialised management assistants in demand forecasting of human resources Wang, Shuai Wang, Lingfeng Liu, Dai Xin, Yan Sun, Guixia Wang, Yanyan Wang, Jingyu Ping, Li Heliyon Research Article OBJECTIVE: Based on a theoretical analysis and through working practice, this paper presents the experience of the scientific use of the manpower demand prediction method and practical process of specialised business assistants in clinical departments. METHODS: A spot observation, interview and public information inquiry were conducted, and SPSS20.0 Chinese software was used to make a statistical prediction of the business growth (P & LT; 0.05). RESULTS: The specialist management assistant prepared the manpower needs assessment report for the department, and the hospital organization personnel department adopted the recommendation in the manpower needs assessment report and put it into the hospital's recruitment plan for the following year. CONCLUSION: The blood purification centre of specialised business assistants in patients in the medical market, service people, workload and equipment operation efficiency analysis data analysis. It was found that an effective prediction model that supports decisions regarding the hospital's scientific allocation of human resources is advantageous to the hospital's human resource optimisation, improves both operation equipment efficiency and patient satisfaction and is worthy of application and popularisation. Elsevier 2022-11-29 /pmc/articles/PMC9720558/ /pubmed/36478801 http://dx.doi.org/10.1016/j.heliyon.2022.e11965 Text en © 2022 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Wang, Shuai
Wang, Lingfeng
Liu, Dai
Xin, Yan
Sun, Guixia
Wang, Yanyan
Wang, Jingyu
Ping, Li
The application of specialised management assistants in demand forecasting of human resources
title The application of specialised management assistants in demand forecasting of human resources
title_full The application of specialised management assistants in demand forecasting of human resources
title_fullStr The application of specialised management assistants in demand forecasting of human resources
title_full_unstemmed The application of specialised management assistants in demand forecasting of human resources
title_short The application of specialised management assistants in demand forecasting of human resources
title_sort application of specialised management assistants in demand forecasting of human resources
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720558/
https://www.ncbi.nlm.nih.gov/pubmed/36478801
http://dx.doi.org/10.1016/j.heliyon.2022.e11965
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