COVID-19, jobs and skills—Exploratory analysis of the job postings in the US and UK healthcare job market

The COVID-19 pandemic has significantly affected all spheres of life, including the healthcare workforce. While the COVID-19 pandemic has started driving organizational and societal shifts, it is vital for healthcare organizations and decision-makers to analyze patterns in the changing workforce. In...

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Vydané v:PloS one Ročník 18; číslo 1; s. e0278237
Hlavní autori: Upadhyay, Himanshu, Simsekler, Mecit Can Emre, Maalouf, Maher, Anwar, Siddiq, Omar, Mohammed
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 20.01.2023
Public Library of Science (PLoS)
Predmet:
Biology and Life Sciences
Content analysis
Coronaviruses
COVID-19
COVID-19 - epidemiology
Data collection
Data mining
Decision analysis
Decision making
Delivery of Health Care
Dictionaries
Dirichlet problem
Employment
Epidemics
Evaluation
Forecasts and trends
Health care
Health care industry
Health Care Sector
Humans
Job hunting
Labor market
Medicine and Health Sciences
Modelling
Occupations
Pandemics
People and Places
Skills
Social Sciences
Statistics
Telemedicine
United Kingdom
United Kingdom - epidemiology
Websites
United Kingdom
United States
United Kingdom > UK
United States > US
ISSN:1932-6203, 1932-6203
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Shrnutí:The COVID-19 pandemic has significantly affected all spheres of life, including the healthcare workforce. While the COVID-19 pandemic has started driving organizational and societal shifts, it is vital for healthcare organizations and decision-makers to analyze patterns in the changing workforce. In this study, we aim to identify patterns in healthcare job postings during the pandemic to understand which jobs and associated skills are trending after the advent of COVID-19. Content analysis of job postings was conducted using data-driven approaches over two-time intervals in the pandemic. The proposed framework utilizes Latent Dirichlet Allocation (LDA) for topic modeling to evaluate the patterns in job postings in the US and the UK. The most demanded jobs, skills and tasks for the US job postings are presented based on job posting data from popular job posting websites. This is obtained by mapping the job postings to the jobs, skills and tasks defined in the O*NET database for the healthcare occupations in the US. The topic modeling results clearly show increased hiring for telehealth services in both the US and UK. This study also presents an increase in demand for specific occupations and skills in the USA healthcare industry. The results and methods used in the study can help monitor rapid changes in the job market due to pandemics and guide decision-makers to make organizational shifts in a timely manner.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0278237