Article ; Online: Human Resource Planning in Health Care: Outlining a Basic Model and Related Complexities.
Studies in health technology and informatics
2022 Volume 299, Page(s) 279–282
Abstract: The effectiveness of the health care system is largely dependent on the knowledge, skills, and motivation of health care workers, which was particularly evident during the COVID-19 pandemic. The systemic planning of human resources is therefore an ... ...
Abstract | The effectiveness of the health care system is largely dependent on the knowledge, skills, and motivation of health care workers, which was particularly evident during the COVID-19 pandemic. The systemic planning of human resources is therefore an important condition for ensuring the sustainability and efficiency of the health care system. This article focuses on outlining a basic model of human resource planning in health care and the investigation of related complexities. An in-depth analysis framework based on various materials and evidence is proposed in order to outline the factors that influence human resource planning in health care. In order to achieve greater credibility of the research results, the in-depth analytical process employs an extensive review of the literature and carries out an investigation of numerous sources and materials, in both the national and international contexts. The purpose of the human resource planning initiatives in health care is to calculate the needed number of health care workers in the future, on the basis of past and current data, and based on assumptions about future trends in supply and demand. The research findings reveal that this is a very challenging task, as there are typically many unknowns in future planning, and, in addition, planners often face a lack of reliable data and systemic deficiencies. Moreover, the study indicates that unplanned and delayed solutions concerning the human resource needs in health care can only alleviate problems, but in no way can they replace effective strategic measures and timely structural changes within the health care ecosystem. |
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MeSH term(s) | Humans ; Pandemics ; Ecosystem ; COVID-19/epidemiology ; Delivery of Health Care ; Workforce |
Language | English |
Publishing date | 2022-01-01 |
Publishing country | Netherlands |
Document type | Review ; Journal Article |
ISSN | 1879-8365 |
ISSN (online) | 1879-8365 |
DOI | 10.3233/SHTI220999 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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