The implications of artificial intelligence and machine learning in health financing for achieving universal health coverage: Findings from a rapid literature review
World Health Organization
Dec 2022 · World Health Organization
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About this ebook
This World Health Organization publication explores the implications of artificial intelligence (AI) and machine learning (ML) for health financing in the context of achieving universal health coverage (UHC). Based on a rapid literature review, it examines the application of AI and ML in health financing functions such as prediction of health expenditure, risk scoring, claims management, and health benefit package design. The review highlights the potential benefits and challenges of using AI and ML, emphasizing their enhanced speed and accuracy over traditional methods. It calls for further research into the regulation and ethical considerations of AI and ML in health financing, aiming to inform policy and practice towards equitable resource distribution and efficiency in health systems.
This World Health Organization publication explores the implications of artificial intelligence (AI) and machine learning (ML) for health financing in the context of achieving universal health coverage (UHC). Based on a rapid literature review, it examines the application of AI and ML in health f...
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