The Role of Digital Technologies and Artificial Intelligence in Advancing Family Medicine: Enhancing Diagnosis, Treatment, and Improving Public Health

Abstract

The integration of digital technologies and AI into healthcare has revolutionized family medicine, enhancing the quality of primary care, improving health outcomes, and easing the burden on family physicians. As the cornerstone of primary healthcare, digital technologies and AI such as telemedicine, AI-powered diagnostic tools, clinical decision support systems, and predictive analytics have enhanced the role and functions of family medicine in improving the overall health of the community. In Saudi Arabia, population growth and the increasing prevalence of chronic diseases have increased the demand for primary care services, especially during the COVID-19 pandemic. Digital technologies such as telemedicine and AI-powered health management platforms are improving patient access to care, enhancing physician-patient relationships, and contributing to more efficient disease prevention and management strategies. Furthermore, AI enhancing diagnostic accuracy and personalized treatment plans, while predictive analytics has enabled early identification of at-risk populations. This review explores the potential of digital technologies and AI to transform family medicine by enhancing diagnostic accuracy, improving treatment outcomes, managing chronic conditions, and addressing public health needs. It also discusses the future impacts of these technologies, including their role in reducing healthcare costs, enhancing patient education, and reducing healthcare provider burnout.