Global advances in health artificial intelligence: a workforce imperative.

Area of Science:

• Healthcare Management
• Medical Informatics
• Health Workforce Studies

Background:

• The global health workforce faces a critical shortage, projected to reach 11 million by 2030, due to burnout and administrative burdens.
• Emerging clinical artificial intelligence (AI) tools, particularly generative AI, offer potential solutions for documentation, triage, and workflow optimization.

Purpose of the Study:

• To frame AI as a critical retention strategy for the global health workforce.
• To explore high-impact applications of AI in healthcare administration and workflow.
• To address the ethical and geopolitical implications of AI in healthcare workforce development.

Main Methods:

• Literature review and synthesis of current trends in healthcare workforce challenges and AI development.
• Analysis of potential AI applications in reducing administrative burden and improving clinician well-being.
• Ethical and geopolitical assessment of AI's role in global health equity.

Main Results:

• AI tools can significantly reduce clerical burden through applications like ambient documentation, coding support, and intelligent scheduling.
• Responsible AI deployment can ease competition for scarce healthcare talent and enhance capacity in underserved regions.
• Poorly designed AI implementation risks exacerbating existing healthcare disparities and negatively impacting clinician well-being.

Conclusions:

• AI should be viewed as a tool to amplify clinician expertise and preserve the human element of care, not replace healthcare professionals.
• Strategic and clinician-led implementation of AI is crucial to ensure it supports, rather than undermines, healthcare quality, access, and workforce well-being.
• Policy should prioritize AI for expertise amplification to mitigate global health workforce shortages and inequities.