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Physician assessment, comparative abilities and artificial intelligence: implications for informed consent.

Jacob M Appel1

  • 1Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA jacobmappel@gmail.com.

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Summary

Artificial intelligence (AI) can improve physician evaluation by providing accurate performance data. However, this may challenge informed consent and worsen healthcare disparities.

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Area of Science:

  • Medical Ethics
  • Health Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Artificial intelligence (AI) is increasingly recognized for its potential to enhance medical diagnostics and personalize treatments.
  • The application of AI in evaluating physician performance presents novel ethical challenges.
  • Current informed consent practices include a 'comparative abilities' exception, allowing physicians to withhold performance data of other providers.

Purpose of the Study:

  • To examine the impact of AI on the 'comparative abilities' exception to informed consent.
  • To analyze how AI-driven physician performance metrics may affect patient decision-making.
  • To explore the potential for AI in physician evaluation to exacerbate existing healthcare disparities.

Main Methods:

  • Literature review of AI applications in healthcare and medical ethics.
  • Analysis of the legal and ethical implications of AI-generated physician performance data.
  • Ethical framework analysis concerning informed consent and equitable access to care.

Main Results:

  • AI can generate granular and accurate comparisons of physician performance metrics.
  • This capability challenges the 'comparative abilities' exception, potentially empowering patients with more information.
  • Disclosing physician success rates via AI may lead to increased healthcare disparities, favoring patients with greater financial resources.

Conclusions:

  • AI's role in physician evaluation necessitates a re-evaluation of informed consent principles.
  • Proactive policy and ethical considerations are crucial to mitigate potential healthcare disparities.
  • Ensuring equitable access to care requires careful management of AI implementation in healthcare settings.