A quarter-century of synthetic data in healthcare: Unveiling trends with structural topic modeling

Synthetic data research in healthcare is expanding, with shifting regional contributions and evolving topic focus. Realizing its potential requires cross-disciplinary collaboration, bias mitigation, and equitable partnerships.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251404530
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

A quarter-century of synthetic data in healthcare: Unveiling trends with structural topic modeling

Gabriel Otieno Okello, Richard Omore, Vincent Mzazi, Billy Ogwel et al.
Digital Health
Computational and Text Analysis Methods
article

A quarter-century of synthetic data in healthcare: Unveiling trends with structural topic modeling

Gabriel Otieno Okello, Richard Omore, Vincent Mzazi, Billy Ogwel, Alex O Awuor, Bryan O. Nyawanda, Sidney Ogolla
article en

Abstract

Synthetic data research in healthcare is expanding, with shifting regional contributions and evolving topic focus. Realizing its potential requires cross-disciplinary collaboration, bias mitigation, and equitable partnerships.

Digital HealthVol. 11
Alliant International University (US), Swiss Tropical and Public Health Institute (CH), University of South Africa (ZA), University of Basel (CH), Kenya Medical Research Institute (KE)
Openalex Percentile: Top 52%
Computational and Text Analysis Methods
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A quarter-century of synthetic data in healthcare: Unveiling trends with structural topic modeling — Gabriel Otieno Okello, Richard Omore, et al. · Digital Health (2025) | TGRS Research Map | TGRS