Quo Vadis, AI-Empowered Doctor?

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Clinical Workflow Optimization

Background:

• Physician professional autonomy has decreased with the shift to employed status and mandatory electronic health record (EHR) integration.
• The introduction of large language models (LLMs) and generative AI presents new opportunities and challenges in clinical practice.

Purpose of the Study:

• To explore the impact of generative AI on clinical practice and physician roles.
• To advocate for the systematic integration of AI into medical education.

Main Methods:

• Review of current trends in AI adoption in healthcare settings.
• Analysis of the potential effects of generative AI on clinical efficiency, diagnostic precision, and physician productivity.
• Consideration of emerging liability issues associated with AI implementation.

Main Results:

• Generative AI offers potential for enhanced clinical efficiency and diagnostic precision.
• AI adoption is reshaping physician roles, productivity expectations, and introducing new liability concerns.
• Physician and stakeholder input is essential during the early stages of AI integration.

Conclusions:

• AI is a sophisticated clinical tool that requires a comprehensive understanding.
• Systematic incorporation of AI into medical curricula is advocated to prepare future physicians.
• Proactive engagement with AI development and integration is necessary to navigate its transformative potential in healthcare.