Artificial intelligence-enhanced continuing professional development: Building digital capability in general practice

Area of Science:

• Digital Health
• Medical Education Technology

Background:

• Healthcare is undergoing significant digital transformation driven by artificial intelligence (AI).
• General practice requires practitioners to acquire new digital competencies.
• Continuing professional development (CPD) must adapt to support this digital shift.

Purpose of the Study:

• Outline effective CPD strategies.
• Explore AI's role in enhancing digital capabilities within general practice CPD.
• Identify key aspects of AI-driven CPD.

Main Methods:

• Review of existing AI tools for CPD.
• Analysis of AI's potential for personalized learning, self-assessment, and administrative automation.
• Discussion of ethical considerations for AI implementation in CPD.

Main Results:

• AI tools offer adaptive learning, personalized content, and support for diverse learning styles.
• AI can increase CPD efficiency and reduce engagement barriers.
• Ethical implementation is crucial for maintaining professional autonomy, transparency, data privacy, and equity.

Conclusions:

• A pragmatic CPD framework should integrate AI innovations with digital competency development.
• AI can foster a culture of lifelong learning and adaptability in general practice.
• Effective CPD strategies must balance AI potential with ethical considerations and practitioner needs.