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Applied AI in Family Medicine

This course explores the integration of artificial intelligence (AI) in family medicine, covering AI-driven diagnostics, predictive analytics, virtual health assistants, electronic health records (EHR) optimization, and personalized treatment plans. Participants will gain insights into AI applications in clinical decision-making, workflow automation, remote monitoring, and mental health support. Ethical considerations and regulatory aspects of AI in healthcare will also be discussed.

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Course Duration:

24 hours

Level:

Intermediate

Course Objectives

  • Understand the role of AI in enhancing patient care and clinical efficiency in family medicine.

  • Apply AI-driven decision support tools to improve diagnostic accuracy and treatment planning.

  • Utilise predictive analytics for disease prevention and population health management.

  • Explore AI applications in medical imaging, remote monitoring, and wearable technology.

  • Analyse the impact of AI in streamlining administrative tasks, including EHR automation.

  • Assess ethical, legal, and regulatory challenges in AI adoption within family medicine.

Prerequisites

  • Basic understanding of medical practice and primary care principles

  • Familiarity with healthcare data and electronic health records (EHR)

  • General awareness of AI and its applications in healthcare (recommended but not required)

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