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When to Avoid AI in Healthcare

  • AI in healthcare has numerous legitimate use cases, but there are situations where it should be avoided.
  • Denying claims and care should involve human input and caution, as AI's capabilities are limited.
  • Relying solely on past decisions made by AI can perpetuate inaccuracies and flawed understanding of policies.
  • Applying AI as a one-size-fits-all solution on top of complex legacy systems can lead to confusion and inaccuracy.
  • To be effective, AI needs constant feedback based on quality data, and it should be used as a co-pilot with human oversight.

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