Heliyon (Dec 2022)

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

  • Shuai Wang,
  • Lingfeng Wang,
  • Dai Liu,
  • Yan Xin,
  • Guixia Sun,
  • Yanyan Wang,
  • Jingyu Wang,
  • Li Ping

Journal volume & issue
Vol. 8, no. 12
p. e11965

Abstract

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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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