Your browser doesn't support javascript.
Human Resource Planning in Health Care: Outlining a Basic Model and Related Complexities.
Stanimirovic, Dalibor; Pribakovic Brinovec, Radivoje.
  • Stanimirovic D; University of Ljubljana, Faculty of Public Administration, 1000 Ljubljana, Slovenia.
  • Pribakovic Brinovec R; National Institute of Public Health, 1000 Ljubljana, Slovenia.
Stud Health Technol Inform ; 299: 279-282, 2022 Nov 03.
Article in English | MEDLINE | ID: covidwho-2099075
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: Shti220999

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: Shti220999