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May 18, 2026Digital Health1 citationsOpen Access

Designing AI tools to advance health equity in resource-constrained low- and middle-income countries

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ASAnindya Pradipta SusantoDLDavid LyellBWBambang Widyantoro

Key Points

  • The aim is to identify strategic principles for designing AI tools that promote health equity in low-resource settings.
  • Outlined principles for AI tool design, focusing on problem-driven approaches and socio-technical context.
  • Recommended selecting appropriate clinical tasks and ensuring tools are actionable at the point of care.
  • Emphasized the importance of creating tools that clinicians can understand and use effectively.
  • AI tools designed with these principles can improve decision-making for clinicians.
  • Enhanced understanding of social factors can lead to better health equity outcomes.
  • Actionable recommendations from AI tools can facilitate timely and effective patient care.

Abstract

In the resource-constrained settings, shortages of health workers and underdeveloped infrastructure hinder the delivery of equitable, high quality care. This perspective outlines strategic principles to support the design of AI tools that are genuinely beneficial in low-resource contexts: adopting problem-driven approaches, understanding the socio-technical context, selecting appropriate clinical tasks, and ensuring point-of-care accessibility, clinical comprehensibility, and actionable recommendations, ultimately improving clinicians’ decision-making and promoting health equity in low- and middle-income countries.

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Cite This Study

Susanto et al. (2026) studied this question.

synapsesocial.com/papers/6a0aacb35ba8ef6d83b701bdhttps://doi.org/10.1177/20552076261438662
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