
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)
