Analysis on the Influencing Factors and Training Strategies of Young Talents in Hospitals under the Background of Big Data.

Title

Analysis on the Influencing Factors and Training Strategies of Young Talents in Hospitals under the Background of Big Data.

Subject

BIG data
FACTOR analysis
HOSPITALS
PERFORMANCE management
RESEARCH management

Description

Under the background of big data, young talents in hospitals across my country are constantly striving to exert their personal scientific research and technical capabilities in terms of scientific research performance. At the same time, it also exposed many problems that need to be solved urgently. Under the background of the new era, each hospital needs to exert and increase its training in terms of scientific research and technology research and the use of young talents. By building a scientific platform and establishing an effective scientific research performance evaluation management system, the backbone of outstanding young medical talents can be realized. In the context of big data, this paper studies and analyzes the influencing factors of hospital young talent scientific research and performance management. After the preliminary data collection work, the chi-square verification was carried out on the survey data of young medical scientific research talents. It is confirmed that the research conclusions based on big data have certain basis for improving the scientific research management level of each hospital based on the research conclusions, thus providing a certain theoretical basis for enhancing the scientific research performance of young talents in the hospital. [ABSTRACT FROM AUTHOR]
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Creator

Liu, Ping
Zhao, Feng

Publisher

Computational & Mathematical Methods in Medicine

Date

2022

Type

journalArticle

Identifier

1748670X

Citation

Liu, Ping and Zhao, Feng, “Analysis on the Influencing Factors and Training Strategies of Young Talents in Hospitals under the Background of Big Data.,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/27633.

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