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March 3, 2026Digital Health2 citationsOpen Access

On the use of synthetic data for healthcare AI in Africa: Technical performance, governance challenges, and policy readiness

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ANAlly NyamaweDSDeo Shao

Key Points

  • Synthetic data can significantly improve healthcare AI capabilities in Africa, enhancing system performance.
  • The study emphasizes the need for regulatory frameworks to ensure data fidelity and effective governance.
  • Governance challenges arise when integrating synthetic data into existing healthcare systems, requiring strategic planning.
  • Investment in infrastructure and capacity-building is crucial for the adoption of synthetic data in healthcare AI.

Abstract

Synthetic data can enhance AI-enabled healthcare in Africa if it is embedded within regulatory frameworks, validated through hybrid modeling, and supported by investment in infrastructure and capacity-building. This study highlights the intersection of synthetic data, healthcare AI, data fidelity, domain adaptation, and governance considerations in African health systems, underscoring the need for robust health technology assessment processes.

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Cite This Study

Nyamawe et al. (2026) studied this question.

synapsesocial.com/papers/69a75b72c6e9836116a22c69https://doi.org/10.1177/20552076261418897
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