From Crisis to Care... AI Revolutionising Humanitarian Healthcare

Abstract

Background: Humanitarian healthcare and disaster response greatly rely on quick, informed and coordinated actions to save lives and resources.Artificial intelligence (AI) is coming out as a powerful tool that has the capability to support crisis management through predictive analytics, decision support, and efficient allocation of medical resources.Objectives: To explore the transformation of artificial intelligence in disaster response, emergency care and equitable healthcare systems.Methods: The literature was reviewed for recent developments in the domain of AI applications for disaster preparedness and emergency healthcare, identifying persistent challenges such as limited datasets, ethical dilemmas and integration issues.Results: This study highlighted that AI usage in humanitarian healthcare improves disaster response efficiency and enhances predictive accuracy. However, real-time system integration highlights the need for more transparent and collaborative AI frameworks.Conclusion: AI has immense potential for transforming humanitarian healthcare with faster, data-driven, and equitable crisis response. Focus on ethical governance is required to realise its impact in real-life disaster scenarios.

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