A systematic review of economic evidence of artificial intelligence in healthcare.

Health PolicyJul 21, 2026 (epub)

Jelena Schmidt, Alexander W Carter, Alistair McGuire et al.

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In 30 seconds

This systematic review evaluated the economic evidence of artificial intelligence (AI) technologies in healthcare, analyzing 98 unique evaluations from 91 records. The findings indicate that 36% of studies show a clear economic preference for AI, increasing to 44% among high-quality studies. However, the review does not support claims of AI saving hundreds of billions in healthcare costs.

Key findings

  • 36% of included studies show a clear health economic preference for AI technology.
  • 44% of high-quality studies demonstrate a positive economic impact of AI.
  • AI interventions primarily target healthcare providers, especially in ophthalmology and oncology.
  • The review identified 98 unique evaluations from a total of 16,430 academic records.

Why it matters

Understanding the economic implications of AI in healthcare is crucial for policymakers and clinicians, as it informs investment decisions and the integration of AI technologies into clinical practice, potentially enhancing patient care and resource allocation.

Source

Published in Health Policy. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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