Regulation of artificial intelligence in Uganda’s healthcare: exploring an appropriate regulatory approach and framework to deliver universal health coverage

The hybrid approach to AI regulation is best suited to serve Uganda's healthcare needs. The foremost priority for Uganda is to attain Universal Health Coverage. A hybrid approach will contribute to this however, it is not the silver bullet. Uganda needs to supplement efforts to achieve UHC with other non-regulatory strategies.

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Publication Details

Journal
International Journal for Equity in Health
Published
2025-05-30
DOI
https://doi.org/10.1186/s12939-025-02513-3
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
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article

Regulation of artificial intelligence in Uganda’s healthcare: exploring an appropriate regulatory approach and framework to deliver universal health coverage

Kalule Grancia Mugalula
1 citations
International Journal for Equity in Health
Artificial Intelligence in Healthcare and Education
0.65
article

Regulation of artificial intelligence in Uganda’s healthcare: exploring an appropriate regulatory approach and framework to deliver universal health coverage

Kalule Grancia Mugalula
article en
1 citations

Abstract

The hybrid approach to AI regulation is best suited to serve Uganda's healthcare needs. The foremost priority for Uganda is to attain Universal Health Coverage. A hybrid approach will contribute to this however, it is not the silver bullet. Uganda needs to supplement efforts to achieve UHC with other non-regulatory strategies.

International Journal for Equity in HealthVol. 24(1)
University of Manchester (GB)
Openalex Percentile: Top 25%
Artificial Intelligence in Healthcare and Education
0.65
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Regulation of artificial intelligence in Uganda’s healthcare: exploring an appropriate regulatory approach and framework to deliver universal health coverage — Kalule Grancia Mugalula · International Journal for Equity in Health (2025) | TGRS Research Map | TGRS