Faculty, Staff and Student Publications

Language

English

Publication Date

1-25-2024

Journal

Studies in Health Technology and Informatics

DOI

10.3233/SHTI231147

PMID

38269997

Abstract

The COVID-19 pandemic has reshaped technology-enhanced services in health and care organizations globally. As the world pivots towards a post-COVID-19 environment, it is essential to examine emerging trends amongst thought leaders in the health information technology sector. This study queried Twitter feeds of IMIA Fellows from 2013 through 2022, utilizing combinations of sentiment analysis, latent dirichlet allocation, and document analysis methods. The results provided a glimpse of positive sentiment year upon year, with the most negative sentiment prevalent in 2020, due to the onset of the pandemic. The findings from this study can be strategically used to analyze emerging trends in digital health, as well as to shape health IT thought leadership in the post-pandemic landscape.

Keywords

Humans, Digital Health, Pandemics, Social Media, COVID-19, Leadership, COVID-19, digital health, latent dirichlet allocation, sentiment analysis

Published Open-Access

yes

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