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

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.